13,276
Views
293
CrossRef citations to date
0
Altmetric
Research Articles

Classification of the COVID-19 infected patients using DenseNet201 based deep transfer learning

, , , &
Pages 5682-5689 | Received 11 Jun 2020, Accepted 20 Jun 2020, Published online: 03 Jul 2020

Keep up to date with the latest research on this topic with citation updates for this article.

Read on this site (10)

Maha Mesfer Meshref Alghamdi, Mohammed Yehia Hassan Dahab & Naael Homoud Abdulrahim Alazwary. (2023) Enhancing deep learning techniques for the diagnosis of the novel coronavirus (COVID-19) using X-ray images. Cogent Engineering 10:1.
Read now
Shaowei Wang, Qizhi Fu, Wenna Chen, Jincan Zhang, Ganqin Du, Hongwei Jiang, Jinghua Li & Xin Zhao. (2023) Hybrid feature extraction technique for automatic classification of COVID-19 chest CT images. Computer Methods in Biomechanics and Biomedical Engineering: Imaging & Visualization 0:0, pages 1-10.
Read now
Haorong Zhao, Xing Deng, Haijian Shao & Yingtao Jiang. (2023) COVID-19 diagnostic prediction on chest CT scan images using hybrid quantum-classical convolutional neural network. Journal of Biomolecular Structure and Dynamics 0:0, pages 1-10.
Read now
Asifullah Khan, Saddam Hussain Khan, Mahrukh Saif, Asiya Batool, Anabia Sohail & Muhammad Waleed Khan. (2023) A Survey of Deep Learning Techniques for the Analysis of COVID-19 and their usability for Detecting Omicron. Journal of Experimental & Theoretical Artificial Intelligence 0:0, pages 1-43.
Read now
R. Keerthana, Angelin Gladston & H. Khanna Nehemiah. (2022) Transfer learning-based CNN diagnostic framework for diagnosis of COVID-19 from lung CT images. The Imaging Science Journal 70:7, pages 413-438.
Read now
Raja Nadir Mahmood Khan, Lal Hussain, Ala Saleh Alluhaidan, Abdul Majid, Kashif J. Lone, Rufat Verdiyev, Fahd N. Al-Wesabi & Tim Q. Duong. (2022) COVID-19 lung infection detection using deep learning with transfer learning and ResNet101 features extraction and selection. Waves in Random and Complex Media 0:0, pages 1-24.
Read now
Wenqian Li, Xing Deng, Haorong Zhao, Haijian Shao & Yingtao Jiang. (2021) COVID-19 diagnosis prediction using classical-to-quantum ensemble model with transfer learning for CT scan images. The Imaging Science Journal 69:5-8, pages 319-333.
Read now
Wei Li, Lingyan Du, Jun Liao, Dongsheng Yin & Xiaoru Xu. (2021) Classification of COVID-19 images based on transfer learning and feature fusion. The Imaging Science Journal 69:1-4, pages 133-142.
Read now
Devershi Pallavi Bhatt, Vaibhav Bhatnagar & Preeti Sharma. (2021) Meta-analysis of predictions of COVID-19 disease based on CT-scan and X-ray images. Journal of Interdisciplinary Mathematics 24:2, pages 381-409.
Read now
Le Minh Bui, Huong Thi Thu Phung, Thuy-Tien Ho Thi, Vijai Singh, Rupesh Maurya, Khushal Khambhati, Chia-Ching Wu, Md Jamal Uddin, Do Minh Trung & Dinh Toi Chu. (2021) Recent findings and applications of biomedical engineering for COVID-19 diagnosis: a critical review. Bioengineered 12:1, pages 8594-8613.
Read now

Articles from other publishers (283)

Hasnain Kabir, Taslima Juthi, Md. Tarequl Islam, Md. Wahidur Rahman & Rahat Khan. (2024) WaterHyacinth: A comprehensive image dataset of various Water hyacinth species from different regions of Bangladesh. Data in Brief 52, pages 109872.
Crossref
Hongbin Zhang, Lang Hu, Weinan Liang, Zhijie Li, Meng Yuan, Yiyuan Ye, Zelin Wang, Yafeng Ren & Xiong Li. (2023) BCT-OFD: bridging CNN and transformer via online feature distillation for COVID-19 image recognition. International Journal of Machine Learning and Cybernetics.
Crossref
Yunlong Sun, Jingge Lian, Ze Teng, Ziyi Wei, Yi Tang, Liu Yang, Yajuan Gao, Tianfu Wang, Hongfeng Li, Meng Xu & Baiying Lei. (2023) COVID-19 diagnosis based on swin transformer model with demographic information fusion and enhanced multi-head attention mechanism. Expert Systems with Applications, pages 122805.
Crossref
Hadi Alhares, Jafar Tanha & Mohammad Ali Balafar. (2023) AMTLDC: a new adversarial multi-source transfer learning framework to diagnosis of COVID-19. Evolving Systems 14:6, pages 1101-1115.
Crossref
Ravi Shekhar Tiwari, Lakshmi Dandabani, Tapan Kumar Das, Surbhi Bhatia Khan, Shakila Basheer & Mohammed S. Alqahtani. (2023) Cloud-Based Quad Deep Ensemble Framework for the Detection of COVID-19 Omicron and Delta Variants. Diagnostics 13:22, pages 3419.
Crossref
Saleh Albahli & Marriam Nawaz. (2023) MedNet: Medical deepfakes detection using an improved deep learning approach. Multimedia Tools and Applications.
Crossref
Djamila Romaissa Beddiar, Mourad Oussalah, Usman Muhammad & Tapio Seppänen. (2023) A Deep learning based data augmentation method to improve COVID-19 detection from medical imaging. Knowledge-Based Systems 280, pages 110985.
Crossref
Apeksha Koul, Rajesh K. Bawa & Yogesh Kumar. (2023) An Analysis of Deep Transfer Learning-Based Approaches for Prediction and Prognosis of Multiple Respiratory Diseases Using Pulmonary Images. Archives of Computational Methods in Engineering.
Crossref
Muhammad Owais, Taimur Hassan, Neha Gour, Iyyakutti Iyappan Ganapathi & Naoufel Werghi. (2023) Strengthening Deep Learning Model for Robust Screening of Volumetric Chest Radiographic Scans. Strengthening Deep Learning Model for Robust Screening of Volumetric Chest Radiographic Scans.
Abdullah Aksoy & Enes Yigit. (2023) Automatic soliton wave recognition using deep learning algorithms. Chaos, Solitons & Fractals 174, pages 113815.
Crossref
Ahmet SAYGILI. (2023) Rapid and Precise Identification of COVID-19 through Segmentation and Classification of CT and X-ray Images. Sakarya University Journal of Computer and Information Sciences 6:2, pages 123-139.
Crossref
KC Santosh, Debasmita GhoshRoy & Suprim Nakarmi. (2023) A Systematic Review on Deep Structured Learning for COVID-19 Screening Using Chest CT from 2020 to 2022. Healthcare 11:17, pages 2388.
Crossref
Sohaib Asif, Ming Zhao, Fengxiao Tang & Yusen Zhu. (2023) LWSE: a lightweight stacked ensemble model for accurate detection of multiple chest infectious diseases including COVID-19. Multimedia Tools and Applications.
Crossref
Noamaan Abdul Azeem, Sanjeev Sharma & Sanskar Hasija. (2023) Classification of Satellite Images Using an Ensembling Approach Based on Deep Learning. Arabian Journal for Science and Engineering.
Crossref
Wudi Wei, Xiaotao He, Xiuli Bao, Gang Wang, Qiang Luo, Lixiang Chen, Baili Zhan, Jingzhen Lai, Junjun Jiang, Li Ye & Hao Liang. (2023) Application of deep learning algorithm in the recognition of cryptococcosis and talaromycosis skin lesions. Mycoses 66:8, pages 671-679.
Crossref
Soumya Ranjan Nayak, Janmenjoy Nayak, Utkarsh Sinha, Vaibhav Arora, Uttam Ghosh & Suresh Chandra Satapathy. (2021) An Automated Lightweight Deep Neural Network for Diagnosis of COVID-19 from Chest X-ray Images. Arabian Journal for Science and Engineering 48:8, pages 11085-11102.
Crossref
Munish Khanna, Astitwa Agarwal, Law Kumar Singh, Shankar Thawkar, Ashish Khanna & Deepak Gupta. (2021) Radiologist-Level Two Novel and Robust Automated Computer-Aided Prediction Models for Early Detection of COVID-19 Infection from Chest X-ray Images. Arabian Journal for Science and Engineering 48:8, pages 11051-11083.
Crossref
C. Narmatha. (2023) A combination of DenseNet-264 with alternating decision tree for detecting lung infection. Soft Computing.
Crossref
Oluwatunmise Akinniyi, Md Mahmudur Rahman, Harpal Singh Sandhu, Ayman El-Baz & Fahmi Khalifa. (2023) Multi-Stage Classification of Retinal OCT Using Multi-Scale Ensemble Deep Architecture. Bioengineering 10:7, pages 823.
Crossref
Nourin Ahmed, Namarta Vij & Ziad Kobti. (2023) Comparative Study of LBP and HOG Feature Extraction Techniques for COVID-19 Pneumonia Classification. Comparative Study of LBP and HOG Feature Extraction Techniques for COVID-19 Pneumonia Classification.
Deep R. Shah, Rupal A. Kapdi, Jigna S. Patel & Jitali Patel. (2023) Three Class Classification of Alzheimer’s Disease Using Deep Neural Networks. Current Medical Imaging Formerly Current Medical Imaging Reviews 19:8.
Crossref
Venkateswara Reddy Kunduru & Balaji Narayanam. (2023) COVID-19 classification based on a convolutional spiking neural network: A modified exponential if neuron approach. Measurement: Sensors, pages 100861.
Crossref
Dolly Das, Saroj Kumar Biswas & Sivaji Bandyopadhyay. (2023) Mixed attention and regularized COVID ‐19 network: An approach to detection of COVID ‐19 with chest x‐ray images . International Journal of Imaging Systems and Technology 33:4, pages 1194-1222.
Crossref
Kıyas KAYAALP & Fehmi ÖZKANER. (2023) BI-DIRECTIONAL CLASSIFICATION OF ROMAN PERIOD COINS BY DEEP LEARNING METHODS. International Journal of Engineering and Innovative Research 5:2, pages 161-169.
Crossref
Anjali Malviya, Rahul Dixit, Anupam Shukla & Nagendra Kushwaha. (2023) Long Short-Term Memory-based Deep Learning Model for COVID-19 Detection using Coughing Sound. SN Computer Science 4:5.
Crossref
J. Syed Nizamudeen Ahmed, M. Mohamed Sathik, Krishnan Nallaperumal, Senthamarai Kannan Kaliaperumal, Parasuraman Kumar & Arumuga Maria Devi Thanu. (2023) Deep learning techniques on 3D‐MRI lung images for detection and segmentation of COVID ‐19 virus . Expert Systems.
Crossref
SeyyedMohammad JavadiMoghaddam. (2023) A novel framework based on deep learning for COVID-19 diagnosis from X-ray images. PeerJ Computer Science 9, pages e1375.
Crossref
Eelandula Kumaraswamy, Sumit Kumar & Manoj Sharma. (2023) An Invasive Ductal Carcinomas Breast Cancer Grade Classification Using an Ensemble of Convolutional Neural Networks. Diagnostics 13:11, pages 1977.
Crossref
Anastasios Arsenos, Andjoli Davidhi, Dimitrios Kollias, Panos Prassopoulos & Stefanos Kollias. (2023) Data-Driven Covid-19 Detection Through Medical Imaging. Data-Driven Covid-19 Detection Through Medical Imaging.
Alka Singh, Varun P. Gopi, Anju Thomas & Omkar Singh. (2023) DUAL-SCALE CNN ARCHITECTURE FOR COVID-19 DETECTION FROM LUNG CT IMAGES. Biomedical Engineering: Applications, Basis and Communications 35:03.
Crossref
Alanazi Rayan & Alaa S. Alaerjan. (2023) An Improved Crow Search Optimization with Bi-LSTM Model for Identification and Classification of COVID-19 Infection from Chest X-Ray Images. Alexandria Engineering Journal.
Crossref
M. Emin Sahin, Hasan Ulutas, Esra Yuce & Mustafa Fatih Erkoc. (2023) Detection and classification of COVID-19 by using faster R-CNN and mask R-CNN on CT images. Neural Computing and Applications 35:18, pages 13597-13611.
Crossref
Lamiaa Abdel-Hamid. (2023) Multiresolution analysis for COVID-19 diagnosis from chest CT images: wavelet vs. contourlet transforms. Multimedia Tools and Applications.
Crossref
Leandro Y. Mano, Alesson M. Torres, Andres Giraldo Morales, Carla Cristina P. Cruz, Fabio H. Cardoso, Sarah Hannah Alves, Cristiane O. Faria, Regina Lanzillotti, Renato Cerceau, Rosa Maria E. M. da Costa, Karla Figueiredo & Vera Maria B. Werneck. (2023) Machine Learning Applied to COVID-19: A Review of the Initial Pandemic Period. International Journal of Computational Intelligence Systems 16:1.
Crossref
Rufaidah Dabbagh, Amr Jamal, Jakir Hossain Bhuiyan Masud, Maher A. Titi, Yasser S Amer, Afnan Khayat, Taha S Alhazmi, Layal Hneiny, Fatmah A. Baothman, Metab Alkubeyyer, Samina A. Khan & Mohamad-Hani Temsah. (2023) Harnessing Machine Learning in Early COVID-19 Detection and Prognosis: A Comprehensive Systematic Review. Cureus.
Crossref
Vairaprakash Selvaraj, Manjunathan Alagarsamy, Dineshkumar Thangaraju & Dinesh Paramathi Mani. (2023) Classification of COVID-19 Patient Based on Multilayer Perceptron Neural Networks Optimized with Garra Rufa Fish Optimization Using CT Scan Images. International Journal of Pattern Recognition and Artificial Intelligence 37:06.
Crossref
Yanfu Wu, Qun Dai & Han Lu. (2023) COVID-19 diagnosis utilizing wavelet-based contrastive learning with chest CT images. Chemometrics and Intelligent Laboratory Systems 236, pages 104799.
Crossref
Mohamed Ramzy Ibrahim, Sherin M. Youssef & Karma M. Fathalla. (2021) Abnormality detection and intelligent severity assessment of human chest computed tomography scans using deep learning: a case study on SARS-COV-2 assessment. Journal of Ambient Intelligence and Humanized Computing 14:5, pages 5665-5688.
Crossref
Şifa ÖZSARI, Fatma Zehra ORTAK, Mehmet Serdar GÜZEL, Mükerrem Bahar BAŞKIR & Gazi Erkan BOSTANCI. (2023) ML based prediction of COVID-19 diagnosis using statistical tests. Communications Faculty of Sciences University of Ankara Series A2-A3 Physical Sciences and Engineering 65:2, pages 79-99.
Crossref
Abdulsalam Hajmohamad & Hasan Koyuncu. (2023) 3t2FTS: A Novel Feature Transform Strategy to Classify 3D MRI Voxels and Its Application on HGG/LGG Classification. Machine Learning and Knowledge Extraction 5:2, pages 359-383.
Crossref
Heba M. Emara, Mohamed R. Shoaib, Walid El-Shafai, Mohamed Elwekeil, Ezz El-Din Hemdan, Mostafa M. Fouda, Taha E. Taha, Adel S. El-Fishawy, El-Sayed M. El-Rabaie & Fathi E. Abd El-Samie. (2023) Simultaneous Super-Resolution and Classification of Lung Disease Scans. Diagnostics 13:7, pages 1319.
Crossref
Shirin Kordnoori, Malihe Sabeti, Hamidreza Mostafaei & Saeed Seyed Agha Banihashemi. (2023) Analysis of lung scan imaging using deep multi‐task learning structure for Covid‐19 disease. IET Image Processing 17:5, pages 1534-1545.
Crossref
Saleh Almuayqil, Sameh Abd El-Ghany & Abdulaziz Shehab. (2023) Multimodality Imaging of COVID-19 Using Fine-Tuned Deep Learning Models. Diagnostics 13:7, pages 1268.
Crossref
Arshia Rehman, Ahmad Khan, Gohar Fatima, Saeeda Naz & Imran Razzak. (2023) Review on chest pathogies detection systems using deep learning techniques. Artificial Intelligence Review.
Crossref
Yogesh H. Bhosale & K. Sridhar Patnaik. (2023) Bio-medical imaging (X-ray, CT, ultrasound, ECG), genome sequences applications of deep neural network and machine learning in diagnosis, detection, classification, and segmentation of COVID-19: a Meta-analysis & systematic review. Multimedia Tools and Applications.
Crossref
Mohammadreza Iman, Hamid Reza Arabnia & Khaled Rasheed. (2023) A Review of Deep Transfer Learning and Recent Advancements. Technologies 11:2, pages 40.
Crossref
Pankaj Chaupal, S. Rohit & Prakash Rajendran. (2023) Matrix cracking and delamination detection in GFRP laminates using pre-trained CNN models. Journal of the Brazilian Society of Mechanical Sciences and Engineering 45:3.
Crossref
Arthur A. M. Teodoro, Douglas H. Silva, Muhammad Saadi, Ogobuchi D. Okey, Renata L. Rosa, Sattam Al Otaibi & Demóstenes Z. Rodríguez. (2021) An Analysis of Image Features Extracted by CNNs to Design Classification Models for COVID-19 and Non-COVID-19. Journal of Signal Processing Systems 95:2-3, pages 101-113.
Crossref
Tejalal Choudhary, Shubham Gujar, Anurag Goswami, Vipul Mishra & Tapas Badal. (2022) Deep learning-based important weights-only transfer learning approach for COVID-19 CT-scan classification. Applied Intelligence 53:6, pages 7201-7215.
Crossref
Sameh H. Basha, Ahmed M. Anter, Aboul Ella Hassanien & Areeg Abdalla. (2021) RETRACTED ARTICLE: Hybrid intelligent model for classifying chest X-ray images of COVID-19 patients using genetic algorithm and neutrosophic logic. Soft Computing 27:6, pages 3427-3442.
Crossref
Gönül Sakallı & Hasan Koyuncu. (2023) Identification of asynchronous motor and transformer situations in thermal images by utilizing transfer learning-based deep learning architectures. Measurement 207, pages 112380.
Crossref
Omneya Attallah. (2023) RADIC:A tool for diagnosing COVID-19 from chest CT and X-ray scans using deep learning and quad-radiomics. Chemometrics and Intelligent Laboratory Systems 233, pages 104750.
Crossref
Angelica Denise J. Abadicio, King Eluard E. Camota, Kyle Anthony F. Niosco, Donabell S. Hernandez, Rodrigo C. Belleza, Roselyn A. Maano & David Eric S. Oreta. (2023) Ground-level Post-Disaster Image Classification using DenseNet201 for Disaster Damage Assessment. Ground-level Post-Disaster Image Classification using DenseNet201 for Disaster Damage Assessment.
Fayadh Alenezi, Ammar Armghan & Kemal Polat. (2023) A Novel Multi-Task Learning Network Based on Melanoma Segmentation and Classification with Skin Lesion Images. Diagnostics 13:2, pages 262.
Crossref
Md. Mahadi Hasan, Muhammad Usama Islam, Muhammad Jafar Sadeq, Wai-Keung Fung & Jasim Uddin. (2023) Review on the Evaluation and Development of Artificial Intelligence for COVID-19 Containment. Sensors 23:1, pages 527.
Crossref
Xiangtao Chen, Yuting Bai, Peng Wang & Jiawei Luo. (2023) Data augmentation based semi-supervised method to improve COVID-19 CT classification. Mathematical Biosciences and Engineering 20:4, pages 6838-6852.
Crossref
Xin Wang, Shuang Liu & Chang-Cai Zhou. (2023) Detection Algorithm of Knee Osteoarthritis Based on Magnetic Resonance Images. Intelligent Automation & Soft Computing 37:1, pages 221-234.
Crossref
Ali Akbar Siddique, S. M. Umar Talha, M. Aamir, Abeer D. Algarni, Naglaa F. Soliman & Walid El-Shafai. (2023) COVID-19 Classification from X-Ray Images: An Approach to Implement Federated Learning on Decentralized Dataset. Computers, Materials & Continua 75:2, pages 3883-3901.
Crossref
Md. Rahad Islam Bhuiyan, Sami Azam, Sidratul Montaha, Risul Islam Jim, Asif Karim, Inam Ullah Khan, Mark Brady, Md. Zahid Hasan, Friso De Boer & Md. Saddam Hossain Mukta. (2023) Deep learning-based analysis of COVID-19 X-ray images: Incorporating clinical significance and assessing misinterpretation. DIGITAL HEALTH 9.
Crossref
Abdussalam Elhanashi, Sergio Saponara & Qinghe Zheng. (2023) Classification and Localization of Multi-Type Abnormalities on Chest X-Rays Images. IEEE Access 11, pages 83264-83277.
Crossref
Zarin Anjuman Sejuti & Md Saiful Islam. (2023) A hybrid CNN–KNN approach for identification of COVID-19 with 5-fold cross validation. Sensors International 4, pages 100229.
Crossref
Nirmala Devi Kathamuthu, Shanthi Subramaniam, Quynh Hoang Le, Suresh Muthusamy, Hitesh Panchal, Suma Christal Mary Sundararajan, Ali Jawad Alrubaie & Musaddak Maher Abdul Zahra. (2023) A deep transfer learning-based convolution neural network model for COVID-19 detection using computed tomography scan images for medical applications. Advances in Engineering Software 175, pages 103317.
Crossref
Aman Gupta, Aman Sharma & Rajni Mohana. 2023. Emergent Converging Technologies and Biomedical Systems. Emergent Converging Technologies and Biomedical Systems 487 497 .
Alireza Balavand & Soheyla Pahlevani. 2023. Optimization Methods for Product and System Design. Optimization Methods for Product and System Design 193 216 .
Jayanta Das, Sourav Pramanik & Debotosh Bhattacharjee. 2023. Proceedings of International Conference on Data, Electronics and Computing. Proceedings of International Conference on Data, Electronics and Computing 321 329 .
Rifqi Akmal Saputra, Faisal Dharma Adhinata, Nur Ghaniaviyanto Ramadhan & Rifqi Alfinnur Charisma. 2023. Proceeding of the 3rd International Conference on Electronics, Biomedical Engineering, and Health Informatics. Proceeding of the 3rd International Conference on Electronics, Biomedical Engineering, and Health Informatics 131 143 .
Madhurima Magesh, Hitarth S. Menon & S. Geetha. 2023. International Virtual Conference on Industry 4.0. International Virtual Conference on Industry 4.0 125 137 .
S. Vidyasri & S. Saravanan. 2023. Computational Vision and Bio-Inspired Computing. Computational Vision and Bio-Inspired Computing 609 623 .
Oluwatobi Akinlade, Edlira Vakaj, Amna Dridi, Sanju Tiwari & Fernando Ortiz-Rodriguez. 2023. Applied Machine Learning and Data Analytics. Applied Machine Learning and Data Analytics 52 63 .
Hakan Yüksel. 2023. 4th International Conference on Artificial Intelligence and Applied Mathematics in Engineering. 4th International Conference on Artificial Intelligence and Applied Mathematics in Engineering 723 739 .
Mohammed Abdul Hafeez Khan, Hrishikesh Sabnis, J. Angel Arul Jothi, J. Kanishkha & A. M. Deva Prasad. 2023. Modelling and Development of Intelligent Systems. Modelling and Development of Intelligent Systems 136 147 .
Sushma Chaugule & V. S. Malemath. 2023. Recent Trends in Image Processing and Pattern Recognition. Recent Trends in Image Processing and Pattern Recognition 164 175 .
Alexandros Shikun Zhang & Naomi Fengqi Li. 2023. Proceedings of the Future Technologies Conference (FTC) 2022, Volume 1. Proceedings of the Future Technologies Conference (FTC) 2022, Volume 1 198 216 .
Raj Kumar Pattanaik, Satyasis Mishra, Mohammed Siddique, Tiruveedula Gopikrishna & Sunita Satapathy. (2022) Breast Cancer Classification from Mammogram Images Using Extreme Learning Machine-Based DenseNet121 Model. Journal of Sensors 2022, pages 1-12.
Crossref
Ramya Mohan, A. Rama & Kirupa Ganapathy. (2022) Comparison of Convolutional Neural Network for Classifying Lung Diseases from Chest CT Images. International Journal of Pattern Recognition and Artificial Intelligence 36:16.
Crossref
Aymen M. Al-Hejri, Riyadh M. Al-Tam, Muneer Fazea, Archana Harsing Sable, Soojeong Lee & Mugahed A. Al-antari. (2022) ETECADx: Ensemble Self-Attention Transformer Encoder for Breast Cancer Diagnosis Using Full-Field Digital X-ray Breast Images. Diagnostics 13:1, pages 89.
Crossref
Muhammad Owais Raza, Tarique Ahmed Khuhro, Sania Bhatti & Mohsin Memon. (2022) Evaluation of deep learning approaches for classification of drought stages using satellite imagery for Tharparker. Sir Syed University Research Journal of Engineering & Technology 12:2, pages 101-108.
Crossref
Ramgopal Kashyap, Rajit Nair, Syam Machinathu Parambil Gangadharan, Miguel Botto-Tobar, Saadia Farooq & Ali Rizwan. (2022) Glaucoma Detection and Classification Using Improved U-Net Deep Learning Model. Healthcare 10:12, pages 2497.
Crossref
Sohaib Asif, Yi Wenhui, Si Jinhai, Zafran Waheed, Yi Yueyang & Hou Jin. (2022) CVD19-Net: An Automated Deep Learning Model for COVID-19 Screening using Chest CT Images. CVD19-Net: An Automated Deep Learning Model for COVID-19 Screening using Chest CT Images.
Yu Zheng. (2022) Research on X-ray Image Classification Algorithm of COVID-19 Based on FS-TResN et Model. Research on X-ray Image Classification Algorithm of COVID-19 Based on FS-TResN et Model.
Mohammadreza Iman, John A. Miller, Khaled Rasheed, Robert M. Branch & Hamid R. Arabnia. (2022) EXPANSE: A Continual and Progressive Learning System for Deep Transfer Learning. EXPANSE: A Continual and Progressive Learning System for Deep Transfer Learning.
Bhavana Bhavana & Dr. Neeraj Raheja. (2022) DeNet_SVM: Product Based Recommendation System using Deep Learning and Web Usage Mining. DeNet_SVM: Product Based Recommendation System using Deep Learning and Web Usage Mining.
Alok Tiwari, Sumit Tripathi, Dinesh Chandra Pandey, Neeraj Sharma & Shiru Sharma. (2022) Detection of COVID-19 Infection in CT and X-ray images using transfer learning approach. Technology and Health Care 30:6, pages 1273-1286.
Crossref
Mingzhu Meng, Ming Zhang, Dong Shen & Guangyuan He. (2022) Differentiation of breast lesions on dynamic contrast-enhanced magnetic resonance imaging (DCE-MRI) using deep transfer learning based on DenseNet201. Medicine 101:45, pages e31214.
Crossref
Nilesh Kumar, Atul Tripathi & Isha Pathak Tripathi. (2022) Detection of Covid-19 using Transfer Learning Technique. Detection of Covid-19 using Transfer Learning Technique.
Santosh Kumar, Mithilesh Kumar Chaube, Saeed Hamood Alsamhi, Sachin Kumar Gupta, Mohsen Guizani, Raffaele Gravina & Giancarlo Fortino. (2022) A novel multimodal fusion framework for early diagnosis and accurate classification of COVID-19 patients using X-ray images and speech signal processing techniques. Computer Methods and Programs in Biomedicine 226, pages 107109.
Crossref
Farhan Ullah, Jihoon Moon, Hamad Naeem & Sohail Jabbar. (2022) Explainable artificial intelligence approach in combating real-time surveillance of COVID19 pandemic from CT scan and X-ray images using ensemble model. The Journal of Supercomputing 78:17, pages 19246-19271.
Crossref
Vedika Gupta, Nikita Jain, Jatin Sachdeva, Mudit Gupta, Senthilkumar Mohan, Mohd Yazid Bajuri & Ali Ahmadian. (2022) Improved COVID-19 detection with chest x-ray images using deep learning. Multimedia Tools and Applications 81:26, pages 37657-37680.
Crossref
Tuba Adar, Elif Kilic Delice & Orhan Delice. (2022) Detection of COVID-19 From A New Dataset Using MobileNetV2 and ResNet101V2 Architectures. Detection of COVID-19 From A New Dataset Using MobileNetV2 and ResNet101V2 Architectures.
Chang Meng, Liang Chen, Huiqi Niu, Xinyu Wang, Guoxu Li & Yuetao Wang. (2022) DCA-Net: A W-shaped network for segmenting COVID-19 infected area from medical images. DCA-Net: A W-shaped network for segmenting COVID-19 infected area from medical images.
S. Arockia Sukanya & K. Kamalanand. (2022) Deep Learning-Assisted Efficient Staging of SARS-CoV-2 Lesions Using Lung CT Slices. Mathematical Problems in Engineering 2022, pages 1-12.
Crossref
Sai Zhang & Guo-Chang Yuan. (2022) Deep Transfer Learning for COVID-19 Detection and Lesion Recognition Using Chest CT Images. Computational and Mathematical Methods in Medicine 2022, pages 1-16.
Crossref
R. Rajeswari, R. Ganeshan, Balajee Maram & R. Cristin. (2022) Brain MRI Images Classifications with Deep Fuzzy Clustering and Deep Residual Network. International Journal of Computational Methods 19:08.
Crossref
Hassana Abubakar, Fadi Al-Turjman, Zubaida Said Ameen & Auwalu Saleh Mubarak. (2022) A Review of Deep Learning and Machine Learning Approaches in COVID-19 Detection. A Review of Deep Learning and Machine Learning Approaches in COVID-19 Detection.
R. Karthik, R. Menaka, M. Hariharan & G.S. Kathiresan. (2022) AI for COVID-19 Detection from Radiographs: Incisive Analysis of State of the Art Techniques, Key Challenges and Future Directions. IRBM 43:5, pages 486-510.
Crossref
Bayan Alsaaidah, Moh’d Rasoul Al-Hadidi, Heba Al-Nsour, Raja Masadeh & Nael AlZubi. (2022) Comprehensive Survey of Machine Learning Systems for COVID-19 Detection. Journal of Imaging 8:10, pages 267.
Crossref
Alavikunhu Panthakkan, S.M. Anzar, Saeed Al Mansoori, Wathiq Mansoor & Hussain Al Ahmad. (2022) A systematic comparison of transfer learning models for COVID-19 prediction. Intelligent Decision Technologies 16:3, pages 557-574.
Crossref
Pranab Sahoo, Sriparna Saha, Samrat Mondal & Suraj Gowda. (2022) Vision Transformer Based COVID-19 Detection Using Chest CT-scan images. Vision Transformer Based COVID-19 Detection Using Chest CT-scan images.
Prince Rajak, Anjali Sagar Jangde & Govind P. Gupta. 2022. Convergence of Big Data Technologies and Computational Intelligent Techniques. Convergence of Big Data Technologies and Computational Intelligent Techniques 90 103 .
Maisarah Mohd Sufian, Ervin Gubin Moung, Jamal Ahmad Dargham, Farashazillah Yahya & Sigeru Omatu. (2022) Pre-trained Deep Learning Models for COVID19 Classification: CNNs vs. Vision Transformer. Pre-trained Deep Learning Models for COVID19 Classification: CNNs vs. Vision Transformer.
Nandhini Abirami, Durai Raj Vincent & Seifedine Kadry. 2022. Research Anthology on Improving Medical Imaging Techniques for Analysis and Intervention. Research Anthology on Improving Medical Imaging Techniques for Analysis and Intervention 735 755 .
Tiba S. Mohammed & Oday A.L.A Ridha. (2022) Implementation of Deep Learning In Detection of Covid-19 In X-ray Images Using Raspberry Pi. Implementation of Deep Learning In Detection of Covid-19 In X-ray Images Using Raspberry Pi.
Azucena Ascencio-Cabral & Constantino Carlos Reyes-Aldasoro. (2022) Comparison of Convolutional Neural Networks and Transformers for the Classification of Images of COVID-19, Pneumonia and Healthy Individuals as Observed with Computed Tomography. Journal of Imaging 8:9, pages 237.
Crossref
Yuqin Li, Ke Zhang, Weili Shi & Zhengang Jiang. (2022) A Novel Method for COVID-19 Detection Based on DCNNs and Hierarchical Structure. Computational and Mathematical Methods in Medicine 2022, pages 1-12.
Crossref
Weiwei Sun, Jungang Chen, Li Yan, Jinzhao Lin, Yu Pang & Guo Zhang. (2022) COVID-19 CT image segmentation method based on swin transformer. Frontiers in Physiology 13.
Crossref
Narendra N. Khanna, Mahesh Maindarkar, Anudeep Puvvula, Sudip Paul, Mrinalini Bhagawati, Puneet Ahluwalia, Zoltan Ruzsa, Aditya Sharma, Smiksha Munjral, Raghu Kolluri, Padukone R. Krishnan, Inder M. Singh, John R. Laird, Mostafa Fatemi, Azra Alizad, Surinder K. Dhanjil, Luca Saba, Antonella Balestrieri, Gavino Faa, Kosmas I. Paraskevas, Durga Prasanna Misra, Vikas Agarwal, Aman Sharma, Jagjit Teji, Mustafa Al-Maini, Andrew Nicolaides, Vijay Rathore, Subbaram Naidu, Kiera Liblik, Amer M. Johri, Monika Turk, David W. Sobel, Gyan Pareek, Martin Miner, Klaudija Viskovic, George Tsoulfas, Athanasios D. Protogerou, Sophie Mavrogeni, George D. Kitas, Mostafa M. Fouda, Manudeep K. Kalra & Jasjit S. Suri. (2022) Vascular Implications of COVID-19: Role of Radiological Imaging, Artificial Intelligence, and Tissue Characterization: A Special Report. Journal of Cardiovascular Development and Disease 9:8, pages 268.
Crossref
Roshima Biju, Warish Patel, K. Suresh Manic & Venkatesan Rajinikanth. (2022) Framework for Classification of Chest X-Rays into Normal/COVID-19 Using Brownian-Mayfly-Algorithm Selected Hybrid Features. Mathematical Problems in Engineering 2022, pages 1-13.
Crossref
Yutong Yao & Xingjie Zuo. (2022) Computer-Aided Diagnosis of COVID-19 Radiography using deep transfer deep learning model TLDeNet. Computer-Aided Diagnosis of COVID-19 Radiography using deep transfer deep learning model TLDeNet.
Liangrui Pan, Hetian Wang, Lian Wang, Boya Ji, Mingting Liu, Mitchai Chongcheawchamnan, Jin Yuan & Shaoliang Peng. (2022) Noise-reducing attention cross fusion learning transformer for histological image classification of osteosarcoma. Biomedical Signal Processing and Control 77, pages 103824.
Crossref
Hongbin Zhang, Weinan Liang, Chuanxiu Li, Qipeng Xiong, Haowei Shi, Lang Hu & Guangli Li. (2022) DCML: Deep contrastive mutual learning for COVID-19 recognition. Biomedical Signal Processing and Control 77, pages 103770.
Crossref
Shah Siddiqui, Murshedul Arifeen, Adrian Hopgood, Alice Good, Alexander Gegov, Elias Hossain, Wahidur Rahman, Shazzad Hossain, Sabila Al Jannat, Rezowan Ferdous & Shamsul Masum. (2022) Deep Learning Models for the Diagnosis and Screening of COVID-19: A Systematic Review. SN Computer Science 3:5.
Crossref
Pranab Sahoo, Sriparna Saha, Samrat Mondal, Sujit Chowdhury & Suraj Gowda. (2022) Computer-Aided COVID-19 Screening from Chest CT-Scan using a Fuzzy Ensemble-based Technique. Computer-Aided COVID-19 Screening from Chest CT-Scan using a Fuzzy Ensemble-based Technique.
Hongyan Xu, Dadong WangArcot Sowmya. (2022) Multi-scale alignment and Spatial ROI Module for COVID-19 Diagnosis. Multi-scale alignment and Spatial ROI Module for COVID-19 Diagnosis.
Sahil Dalal, Virendra P. Vishwakarma, Varsha Sisaudia & Parul Narwal. (2022) Non-iterative learning machine for identifying CoViD19 using chest X-ray images. Scientific Reports 12:1.
Crossref
Mei-Ling Huang & Yu-Chieh Liao. (2022) A lightweight CNN-based network on COVID-19 detection using X-ray and CT images. Computers in Biology and Medicine 146, pages 105604.
Crossref
Arup Kumar Sahoo & Snehashish Chakraverty. (2022) Machine intelligence in dynamical systems: \A state‐of‐art review. WIREs Data Mining and Knowledge Discovery 12:4.
Crossref
Muhammet Fatih Aslan, Kadir Sabanci & Ewa Ropelewska. (2022) A New Approach to COVID-19 Detection: An ANN Proposal Optimized through Tree-Seed Algorithm. Symmetry 14:7, pages 1310.
Crossref
Falana William, Ali Serener & Sertan Serte. (2022) Patient gender identity information in Covid-19 severity detection on 3D chest CT scans via deep learning. Patient gender identity information in Covid-19 severity detection on 3D chest CT scans via deep learning.
Aishwarza Panday, Muhammad Ashad Kabir & Nihad Karim Chowdhury. (2022) A survey of machine learning techniques for detecting and diagnosing COVID‐19 from imaging. Quantitative Biology 10:2, pages 188-207.
Crossref
S. Nivetha & H. Hannah Inbarani. (2022) Neighborhood Rough Neural Network Approach for COVID-19 Image Classification. Neural Processing Letters 54:3, pages 1919-1941.
Crossref
Dolly Das, Saroj Kumar Biswas & Sivaji Bandyopadhyay. (2022) Perspective of AI system for COVID-19 detection using chest images: a review. Multimedia Tools and Applications 81:15, pages 21471-21501.
Crossref
Amjad Rehman Khan, Tanzila Saba, Tariq Sadad & Seng-phil Hong. (2022) Cloud-Based Framework for COVID-19 Detection through Feature Fusion with Bootstrap Aggregated Extreme Learning Machine. Discrete Dynamics in Nature and Society 2022, pages 1-7.
Crossref
Yassine Meraihi, Asma Benmessaoud Gabis, Seyedali Mirjalili, Amar Ramdane-Cherif & Fawaz E. Alsaadi. (2022) Machine Learning-Based Research for COVID-19 Detection, Diagnosis, and Prediction: A Survey. SN Computer Science 3:4.
Crossref
Shiwei Jiang & Hongwei Hou. (2022) A Secure Artificial Intelligence-Enabled Critical Sars Crisis Management Using Random Sigmoidal Artificial Neural Networks. Frontiers in Public Health 10.
Crossref
Haishuai Wang, Shangru Jia, Zhao Li, Yucong Duan, Guangyu Tao & Ziping Zhao. (2022) A Comprehensive Review of Artificial Intelligence in Prevention and Treatment of COVID-19 Pandemic. Frontiers in Genetics 13.
Crossref
Mustafa Ghaderzadeh, Mohammad Amir Eshraghi, Farkhondeh Asadi, Azamossadat Hosseini, Ramezan Jafari, Davood Bashash & Hassan Abolghasemi. (2022) Efficient Framework for Detection of COVID-19 Omicron and Delta Variants Based on Two Intelligent Phases of CNN Models. Computational and Mathematical Methods in Medicine 2022, pages 1-10.
Crossref
Fan Liu, Delong Chen, Xiaocong Zhou, Wenwen Dai & Feng Xu. (2022) Let AI Perform Better Next Time—A Systematic Review of Medical Imaging-Based Automated Diagnosis of COVID-19: 2020–2022. Applied Sciences 12:8, pages 3895.
Crossref
Raphael Taiwo Aruleba, Tayo Alex Adekiya, Nimibofa Ayawei, George Obaido, Kehinde Aruleba, Ibomoiye Domor Mienye, Idowu Aruleba & Blessing Ogbuokiri. (2022) COVID-19 Diagnosis: A Review of Rapid Antigen, RT-PCR and Artificial Intelligence Methods. Bioengineering 9:4, pages 153.
Crossref
Shiva Noori Saray & Jafar Tahmoresnezhad. (2021) Iterative joint classifier and domain adaptation for visual transfer learning. International Journal of Machine Learning and Cybernetics 13:4, pages 947-961.
Crossref
Murat Canayaz, Sanem Şehribanoğlu, Recep Özdağ & Murat Demir. (2022) COVID-19 diagnosis on CT images with Bayes optimization-based deep neural networks and machine learning algorithms. Neural Computing and Applications 34:7, pages 5349-5365.
Crossref
Hengrui Liang, Yuchen Guo, Xiangru Chen, Keng-Leong Ang, Yuwei He, Na Jiang, Qiang Du, Qingsi Zeng, Ligong Lu, Zebin Gao, Linduo Li, Quanzheng Li, Fangxing Nie, Guiguang Ding, Gao Huang, Ailan Chen, Yimin Li, Weijie Guan, Ling Sang, Yuanda Xu, Huai Chen, Zisheng Chen, Shiyue Li, Nuofu Zhang, Ying Chen, Danxia Huang, Run Li, Jianfu Li, Bo Cheng, Yi Zhao, Caichen Li, Shan Xiong, Runchen Wang, Jun Liu, Wei Wang, Jun Huang, Fei Cui, Tao Xu, Fleming Y. M. Lure, Meixiao Zhan, Yuanyi Huang, Qiang Yang, Qionghai Dai, Wenhua Liang, Jianxing He & Nanshan Zhong. (2022) Artificial intelligence for stepwise diagnosis and monitoring of COVID-19. European Radiology 32:4, pages 2235-2245.
Crossref
Lin Yang, Shui-Hua Wang & Yu-Dong Zhang. (2022) EDNC: Ensemble Deep Neural Network for COVID-19 Recognition. Tomography 8:2, pages 869-890.
Crossref
Tamilarasan Ananth Kumar, Rajendrane Rajmohan, Muthu Pavithra, Sunday Adeola Ajagbe, Rania Hodhod & Tarek Gaber. (2022) Automatic Face Mask Detection System in Public Transportation in Smart Cities Using IoT and Deep Learning. Electronics 11:6, pages 904.
Crossref
Ying-Chuan Wang, Dung-Jang Tsai, Li-Chen Yen, Ya-Hsin Yao, Tsung-Ta Chiang, Chun-Hsiang Chiu, Te-Yu Lin, Kuo-Ming Yeh & Feng-Yee Chang. (2022) Clinical Characteristics of COVID-19 Patients and Application to an Artificial Intelligence System for Disease Surveillance. Journal of Clinical Medicine 11:5, pages 1437.
Crossref
Zaid Abdi Alkareem Alyasseri, Mohammed Azmi Al‐Betar, Iyad Abu Doush, Mohammed A. Awadallah, Ammar Kamal Abasi, Sharif Naser Makhadmeh, Osama Ahmad Alomari, Karrar Hameed Abdulkareem, Afzan Adam, Robertas Damasevicius, Mazin Abed Mohammed & Raed Abu Zitar. (2021) Review on COVID ‐19 diagnosis models based on machine learning and deep learning approaches . Expert Systems 39:3.
Crossref
Rajat Mehrotra, Rajeev Agrawal & M. A. Ansari. (2022) Diagnosis of hypercritical chronic pulmonary disorders using dense convolutional network through chest radiography. Multimedia Tools and Applications 81:6, pages 7625-7649.
Crossref
M.B. Sudhan, M. Sinthuja, S. Pravinth Raja, J. Amutharaj, G. Charlyn Pushpa Latha, S. Sheeba Rachel, T. Anitha, T. Rajendran & Yosef Asrat Waji. (2022) Segmentation and Classification of Glaucoma Using U-Net with Deep Learning Model. Journal of Healthcare Engineering 2022, pages 1-10.
Crossref
S. A. A. Biabani & N. A. Tayyib. (2022) A Review on the Use of Machine Learning Against the Covid-19 Pandemic. Engineering, Technology & Applied Science Research 12:1, pages 8039-8044.
Crossref
Ali Bou Nassif, Ismail Shahin, Mohamed Bader, Abdelfatah Hassan & Naoufel Werghi. (2022) COVID-19 Detection Systems Using Deep-Learning Algorithms Based on Speech and Image Data. Mathematics 10:4, pages 564.
Crossref
Vinayak Tiwari, Amit Singhal & Nischay Dhankhar. (2022) Detecting COVID-19 Opacity in X-ray Images Using YOLO and RetinaNet Ensemble. Detecting COVID-19 Opacity in X-ray Images Using YOLO and RetinaNet Ensemble.
Mehrad Aria, Esmaeil Nourani & Amin Golzari Oskouei. (2022) ADA-COVID: Adversarial Deep Domain Adaptation-Based Diagnosis of COVID-19 from Lung CT Scans Using Triplet Embeddings. Computational Intelligence and Neuroscience 2022, pages 1-17.
Crossref
Amir Hossein Barshooi & Abdollah Amirkhani. (2022) A novel data augmentation based on Gabor filter and convolutional deep learning for improving the classification of COVID-19 chest X-Ray images. Biomedical Signal Processing and Control 72, pages 103326.
Crossref
Ahmet Saygılı. (2021) Computer-Aided Detection of COVID-19 from CT Images Based on Gaussian Mixture Model and Kernel Support Vector Machines Classifier. Arabian Journal for Science and Engineering 47:2, pages 2435-2453.
Crossref
Anupam Das. (2021) Adaptive UNet-based Lung Segmentation and Ensemble Learning with CNN-based Deep Features for Automated COVID-19 Diagnosis. Multimedia Tools and Applications 81:4, pages 5407-5441.
Crossref
Rathod Dharmesh Ishwerlal, Reshu Agarwal & K.S. Sujatha. (2022) Radiographic Image Processing Analysis for Lung Infection - A Review. Radiographic Image Processing Analysis for Lung Infection - A Review.
Jordan Sim, Yong-Han Ting, Yuan Tang, Yangqin Feng, Xiaofeng Lei, Xiaohong Wang, Wen-Xiang Chen, Su Huang, Sum-Thai Wong, Zhongkang Lu, Yingnan Cui, Soo-Kng Teo, Xin-Xing Xu, Wei-Min Huang & Cher-Heng Tan. (2022) Diagnostic Performance of a Deep Learning Model Deployed at a National COVID-19 Screening Facility for Detection of Pneumonia on Frontal Chest Radiographs. Healthcare 10:1, pages 175.
Crossref
Shi Song-men. (2022) Intelligent Diagnosis Method for New Diseases Based on Fuzzy SVM Incremental Learning. Computational and Mathematical Methods in Medicine 2022, pages 1-11.
Crossref
Ashis Paul, Arpan Basu, Mufti Mahmud, M. Shamim Kaiser & Ram Sarkar. (2022) Inverted bell-curve-based ensemble of deep learning models for detection of COVID-19 from chest X-rays. Neural Computing and Applications.
Crossref
Sorayya Rezayi, Marjan Ghazisaeedi, ShararehRostam Niakan Kalhori & Soheila Saeedi. (2022) Artificial intelligence approaches on X-ray-oriented images process for early detection of COVID-19. Journal of Medical Signals & Sensors 12:3, pages 233.
Crossref
Brahami Menaouer, Kebir Nour El-Houda, Dermane Zoulikha, Sabri Mohammed & Nada Matta. (2022) Detection and Classification of Brain Tumors From MRI Images Using a Deep Convolutional Neural Network Approach. International Journal of Software Innovation 10:1, pages 1-25.
Crossref
Xiaorui Zhang, Jie Zhou, Wei Sun & Sunil Kumar Jha. (2022) A Lightweight CNN Based on Transfer Learning for COVID-19 Diagnosis. Computers, Materials & Continua 72:1, pages 1123-1137.
Crossref
Sahu Tikendra & S. Choubey Aakanksha. (2022) Lungs disease detection using image processing through python. i-manager’s Journal on Image Processing 9:1, pages 1.
Crossref
J. Bhuvana, T.T. Mirnalinee, B. Bharathi & Infant Sneha. (2022) Efficient generative transfer learning framework for the detection of COVID-19. Computer Science and Information Systems 19:3, pages 1241-1259.
Crossref
Ke Sun, Wuyang Li, Vidya Saikrishna, Mehmood Chadhar & Feng Xia. (2022) COVID-19 datasets: A brief overview. Computer Science and Information Systems 19:3, pages 1115-1132.
Crossref
Takashi Nagaoka, Takenori Kozuka, Takahiro Yamada, Hitoshi Habe, Mitsutaka Nemoto, Masahiro Tada, Koji Abe, Hisashi Handa, Hisashi Yoshida, Kazunari Ishii & Yuichi Kimura. (2022) A Deep Learning System to Diagnose COVID-19 Pneumonia Using Masked Lung CT Images to Avoid AI-generated COVID-19 Diagnoses that Include Data outside the Lungs. Advanced Biomedical Engineering 11:0, pages 76-86.
Crossref
Satish Chandra, Mahendra Kumar Gourisaria, Harshvardhan Gm, Debanjan Konar, Xin Gao, Tianyang Wang & Min Xu. (2022) Prolificacy Assessment of Spermatozoan via State-of-the-Art Deep Learning Frameworks. IEEE Access 10, pages 13715-13727.
Crossref
A. Shamila Ebenezer, S. Deepa Kanmani, Mahima Sivakumar & S. Jeba Priya. (2022) Effect of image transformation on EfficientNet model for COVID-19 CT image classification. Materials Today: Proceedings 51, pages 2512-2519.
Crossref
Viacheslav V. Danilov, Alex Proutski, Alex Karpovsky, Alexander Kirpich, Diana Litmanovich, Dato Nefaridze, Oleg Talalov, Semyon Semyonov, Vladimir Koniukhovskii, Vladimir Shvartc & Yuriy Gankin. (2022) Indirect supervision applied to COVID-19 and pneumonia classification. Informatics in Medicine Unlocked 28, pages 100835.
Crossref
Rohit Kundu, Pawan Kumar Singh, Massimiliano Ferrara, Ali Ahmadian & Ram Sarkar. (2021) ET-NET: an ensemble of transfer learning models for prediction of COVID-19 infection through chest CT-scan images. Multimedia Tools and Applications 81:1, pages 31-50.
Crossref
Vipul Kumar Singh & Maheshkumar H. Kolekar. (2021) Deep learning empowered COVID-19 diagnosis using chest CT scan images for collaborative edge-cloud computing platform. Multimedia Tools and Applications 81:1, pages 3-30.
Crossref
Sujata Shahabade & Renuka Londhe. 2022. Applied Computational Technologies. Applied Computational Technologies 263 276 .
Erum Afzal, Tanzila Saba, Haris Ali, Adnan Karim & Kashif Javed. 2022. Prognostic Models in Healthcare: AI and Statistical Approaches. Prognostic Models in Healthcare: AI and Statistical Approaches 433 457 .
Birjit Gope & Rachna Kohar. 2022. Proceedings of Data Analytics and Management. Proceedings of Data Analytics and Management 795 808 .
Ramesh Sekaran, Arun Prasath Raveendran, Ashok kumar Munnangi & Manikandan Ramachandran. 2022. Computational Intelligence for COVID-19 and Future Pandemics. Computational Intelligence for COVID-19 and Future Pandemics 171 184 .
R. Thanga Selvi & D. Jeyabharathi. 2022. Artificial Intelligence and Evolutionary Computations in Engineering Systems. Artificial Intelligence and Evolutionary Computations in Engineering Systems 389 399 .
Sahar Alquzi, Haikel Alhichri & Yakoub Bazi. 2022. International Conference on Innovative Computing and Communications. International Conference on Innovative Computing and Communications 365 373 .
H. Swapnarekha, Himansu Sekhar Behera, Janmenjoy Nayak & Bighnaraj Naik. 2022. Computational Intelligence in Pattern Recognition. Computational Intelligence in Pattern Recognition 731 747 .
Vidyadevi G. Biradar, H. C. Nagaraj & H. A. Sanjay. 2022. Emerging Research in Computing, Information, Communication and Applications. Emerging Research in Computing, Information, Communication and Applications 289 306 .
Nazmus Shakib Shadin, Silvia Sanjana & Nusrat Jahan Lisa. 2022. Bangabandhu and Digital Bangladesh. Bangabandhu and Digital Bangladesh 49 63 .
Li Fan, Jun Shi, Nannan Shi, Wenting Tu, Yun Bian, Xiuxiu Zhou, Yu Guan, Yuxin Shi & Shiyuan Liu. 2022. Artificial Intelligence in Cardiothoracic Imaging. Artificial Intelligence in Cardiothoracic Imaging 447 457 .
S. Nivetha & H. Hannah Inbarani. 2022. Machine Learning for Critical Internet of Medical Things. Machine Learning for Critical Internet of Medical Things 55 80 .
Vidyadevi G. Biradar, H. A. Sanjay & H. C. Nagaraj. 2022. Understanding COVID-19: The Role of Computational Intelligence. Understanding COVID-19: The Role of Computational Intelligence 501 529 .
R. Jayashree. 2022. Understanding COVID-19: The Role of Computational Intelligence. Understanding COVID-19: The Role of Computational Intelligence 425 446 .
Xiaodong Guo, Yiming Lei, Peng He, Wenbing Zeng, Ran Yang, Yinjin Ma, Peng Feng, Qing Lyu, Ge Wang & Hongming Shan. (2021) An ensemble learning method based on ordinal regression for COVID-19 diagnosis from chest CT. Physics in Medicine & Biology 66:24, pages 244001.
Crossref
Md Nazmul Islam, Mehedi Hasan, Abdul Kadar Muhammad Masum, Md Zia Uddin & Md. Golam Rabiul Alam. (2021) Demystify the Black-box of Deep Learning Models for COVID-19 Detection from Chest CT Radiographs. Demystify the Black-box of Deep Learning Models for COVID-19 Detection from Chest CT Radiographs.
Philippos Skovelef Orfanoudakis, Paraskevi Tzouveli & Stefanos Kollias. (2021) Effects of image quality and quantity on building a competitive COVID-19 diagnosis model. Effects of image quality and quantity on building a competitive COVID-19 diagnosis model.
Roberto Corizzo, Yohan Dauphin, Colin Bellinger, Eftim Zdravevski & Nathalie Japkowicz. (2021) Explainable image analysis for decision support in medical healthcare. Explainable image analysis for decision support in medical healthcare.
H. Alalawi, M. Alsuwat & H. Alhakami. (2021) A Survey of the Application of Artifical Intellegence on COVID-19 Diagnosis and Prediction. Engineering, Technology & Applied Science Research 11:6, pages 7824-7835.
Crossref
Ayoub Laouarem, Chafia Kara-Mohamed, El-Bay Bourenane & Aboubekeur Hamdi-Cherif. (2021) COVID-19 detection using CXR images: simple CNN vs. transfer learning. COVID-19 detection using CXR images: simple CNN vs. transfer learning.
Ervin Gubin Moung, Chong Joon Hou, Maisarah Mohd Sufian, Mohd Hanafi Ahmad Hijazi, Jamal Ahmad Dargham & Sigeru Omatu. (2021) Fusion of Moment Invariant Method and Deep Learning Algorithm for COVID-19 Classification. Big Data and Cognitive Computing 5:4, pages 74.
Crossref
Seyed Masoud Rezaeijo, Mohammadreza Ghorvei, Razzagh Abedi-Firouzjah, Hesam Mojtahedi & Hossein Entezari Zarch. (2021) Detecting COVID-19 in chest images based on deep transfer learning and machine learning algorithms. Egyptian Journal of Radiology and Nuclear Medicine 52:1.
Crossref
Yazan Otoum, Yue Wan & Amiya Nayak. (2021) Federated Transfer Learning-Based IDS for the Internet of Medical Things (IoMT). Federated Transfer Learning-Based IDS for the Internet of Medical Things (IoMT).
Arpita Halder & Bimal Datta. (2021) COVID-19 detection from lung CT-scan images using transfer learning approach. Machine Learning: Science and Technology 2:4, pages 045013.
Crossref
Nan Mu, Hongyu Wang, Yu Zhang, Jingfeng Jiang & Jinshan Tang. (2021) Progressive global perception and local polishing network for lung infection segmentation of COVID-19 CT images. Pattern Recognition 120, pages 108168.
Crossref
Shibaprasad Sen, Soumyajit Saha, Somnath Chatterjee, Seyedali Mirjalili & Ram Sarkar. (2021) A bi-stage feature selection approach for COVID-19 prediction using chest CT images. Applied Intelligence 51:12, pages 8985-9000.
Crossref
Walid Hariri & Ali Narin. (2021) Deep neural networks for COVID-19 detection and diagnosis using images and acoustic-based techniques: a recent review. Soft Computing 25:24, pages 15345-15362.
Crossref
Burak Tasci. (2021) An Overview on Covid19 Detection Algorithm Using Deep Learning. An Overview on Covid19 Detection Algorithm Using Deep Learning.
Nurbek Saparkhojayev, Lazzat Zholayeva, Yerzhan Tashkenbayev & Dinara Tokseit. (2021) Abnormality Detection in Chest X-ray Images Using Uncertainty Prediction Algorithms. Abnormality Detection in Chest X-ray Images Using Uncertainty Prediction Algorithms.
Shubhajit Panda, Mahesh Jangid & Ashish Jain. (2021) A Comprehensive Review on the Significance and Impact of Deep Learning in Medical Image Analysis. A Comprehensive Review on the Significance and Impact of Deep Learning in Medical Image Analysis.
Muhammad Khan, Majed Alhaisoni, Usman Tariq, Nazar Hussain, Abdul Majid, Robertas Damaševičius & Rytis Maskeliūnas. (2021) COVID-19 Case Recognition from Chest CT Images by Deep Learning, Entropy-Controlled Firefly Optimization, and Parallel Feature Fusion. Sensors 21:21, pages 7286.
Crossref

Displaying 200 of 293 citing articles. Use the download link below to view the full list of citing articles.

Download full citations list

Reprints and Corporate Permissions

Please note: Selecting permissions does not provide access to the full text of the article, please see our help page How do I view content?

To request a reprint or corporate permissions for this article, please click on the relevant link below:

Academic Permissions

Please note: Selecting permissions does not provide access to the full text of the article, please see our help page How do I view content?

Obtain permissions instantly via Rightslink by clicking on the button below:

If you are unable to obtain permissions via Rightslink, please complete and submit this Permissions form. For more information, please visit our Permissions help page.