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Applied Artificial Intelligence
An International Journal
Volume 36, 2022 - Issue 1
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Research Article

Brain Tumor Classification Based on Hybrid Optimized Multi-features Analysis Using Magnetic Resonance Imaging Dataset

Syed Ali Nawaza Department of Information Technology, The Islamia University of Bahawalpur (Iub), Bahawalpur, PakistanView further author information
,
Dost Muhammad Khana Department of Information Technology, The Islamia University of Bahawalpur (Iub), Bahawalpur, PakistanView further author information
&
Salman Qadrib Department of Computer Science, Muhammad Nawaz Sharif University of Agriculture Multan (Mns-uam), Multan, PakistanCorrespondence[email protected]
ORCID Iconhttps://orcid.org/0000-0002-3503-6535View further author information
ORCID Icon
Article: 2031824 | Received 22 Oct 2021, Accepted 18 Jan 2022, Published online: 13 Feb 2022

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Pravin Shivaji Bidkar, Ram Kumar & Abhijyoti Ghosh. (2023) Hybrid Adam Sewing Training Optimization Enabled Deep Learning for Brain Tumor Segmentation and Classification using MRI Images. Computer Methods in Biomechanics and Biomedical Engineering: Imaging & Visualization 11:5, pages 1921-1936.
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Parvathy Jyothi & S. Dhanasekaran. An attention 3DUNET and visual geometry group-19 based deep neural network for brain tumor segmentation and classification from MRI. Journal of Biomolecular Structure and Dynamics 0:0, pages 1-12.
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Articles from other publishers (14)

Ishwari Singh Rajput, Aditya Gupta, Vibha Jain & Sonam Tyagi. (2023) A transfer learning-based brain tumor classification using magnetic resonance images. Multimedia Tools and Applications.
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Abdulaziz Alshammari. (2023) DenseNet_ HybWWoA: A DenseNet-Based Brain Metastasis Classification with a Hybrid Metaheuristic Feature Selection Strategy. Biomedicines 11:5, pages 1354.
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Shaiq Wani, Sachin Ahuja & Abhishek Kumar. (2023) Application of Deep Neural Networks and Machine Learning algorithms for diagnosis of Brain tumour. Application of Deep Neural Networks and Machine Learning algorithms for diagnosis of Brain tumour.
Muhammad Attique Khan, Awais Khan, Majed Alhaisoni, Abdullah Alqahtani, Shtwai Alsubai, Meshal Alharbi, Nazir Ahmed Malik & Robertas Damaševičius. (2022) Multimodal brain tumor detection and classification using deep saliency map and improved dragonfly optimization algorithm. International Journal of Imaging Systems and Technology 33:2, pages 572-587.
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Prince Priya Malla, Sudhakar Sahu & Ahmed I. Alutaibi. (2023) Classification of Tumor in Brain MR Images Using Deep Convolutional Neural Network and Global Average Pooling. Processes 11:3, pages 679.
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M. V. S. Ramprasad, Md. Zia Ur Rahman & Masreshaw D. Bayleyegn. (2023) SBTC-Net: Secured Brain Tumor Segmentation and Classification Using Black Widow With Genetic Optimization in IoMT. IEEE Access 11, pages 88193-88208.
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Syed Muhammad Ahmed Hassan Shah, Asad Ullah, Jawaid Iqbal, Sami Bourouis, Syed Sajid Ullah, Saddam Hussain, Muhammad Qasim Khan, Yaser Ali Shah & Ghulam Mustafa. (2023) Classifying and Localizing Abnormalities in Brain MRI Using Channel Attention Based Semi-Bayesian Ensemble Voting Mechanism and Convolutional Auto-Encoder. IEEE Access 11, pages 75528-75545.
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Narayanan Ganesh, Sambandan Jayalakshmi, Rama Chandran Narayanan, Miroslav Mahdal, Hossam M. Zawbaa & Ali Wagdy Mohamed. (2023) Gated Deep Reinforcement Learning With Red Deer Optimization for Medical Image Classification. IEEE Access 11, pages 58982-58993.
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Kesang Chomu Basi & Archit Ajay Yajnik. 2023. Advances in Communication, Devices and Networking. Advances in Communication, Devices and Networking 73 85 .
P. Kavitha, Prabhu Jayagopal, M. Sandeep Kumar & Vetri Selvi Mahamuni. (2022) A Novel Approach for Hybrid Image Segmentation GCPSO: FCM Techniques for MRI Brain Tumour Identification and Classification. Computational Intelligence and Neuroscience 2022, pages 1-10.
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Nazeef Ul Haq, Bilal Tahir, Samar Firdous & Muhammad Amir Mehmood. (2022) Towards survival prediction of cancer patients using medical images. PeerJ Computer Science 8, pages e1090.
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Sarmad Maqsood, Robertas Damaševičius & Rytis Maskeliūnas. (2022) Multi-Modal Brain Tumor Detection Using Deep Neural Network and Multiclass SVM. Medicina 58:8, pages 1090.
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Manar Ahmed Hamza, Hanan Abdullah Mengash, Saud S. Alotaibi, Siwar Ben Haj Hassine, Ayman Yafoz, Fahd Althukair, Mahmoud Othman & Radwa Marzouk. (2022) Optimal and Efficient Deep Learning Model for Brain Tumor Magnetic Resonance Imaging Classification and Analysis. Applied Sciences 12:15, pages 7953.
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Inayatul Haq, Najib Ullah, Tehsen Mazhar, Muhammad Amir Malik & Iqra Bano. (2022) A Novel Brain Tumor Detection and Coloring Technique from 2D MRI Images. Applied Sciences 12:11, pages 5744.
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