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Saeed Talatian Azad, Gholamreza Ahmadi & Amin Rezaeipanah. (2022) An intelligent ensemble classification method based on multi-layer perceptron neural network and evolutionary algorithms for breast cancer diagnosis. Journal of Experimental & Theoretical Artificial Intelligence 34:6, pages 949-969.
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Bhanu Prakash Sharma & Ravindra Kumar Purwar. (2023) An augmented mammogram image dataset and its performance analysis for various classification models. Multimedia Tools and Applications.
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Linjing Wang, Qiang He, Xuetao Wang, Ting Song, Xin Li, Shuxu Zhang, Genggeng Qin, Weiguo Chen, Linghong Zhou & Xin Zhen. (2021) Multi-criterion decision making-based multi-channel hierarchical fusion of digital breast tomosynthesis and digital mammography for breast mass discrimination. Knowledge-Based Systems 228, pages 107303.
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Yanhua Cui, Yun Li, Dong Xing, Tong Bai, Jiwen Dong & Jian Zhu. (2021) Improving the Prediction of Benign or Malignant Breast Masses Using a Combination of Image Biomarkers and Clinical Parameters. Frontiers in Oncology 11.
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Norhene GargouriMouna ZouariRanda BoukhrisAlima DamakDorra SellamiSameh Amous. (2021) Computer-Assisted Diagnosis System for Abnormalities Classification in Digital Mammography Based on Multi-Threshold Modified Local Ternary Pattern (MtMLTP). Journal of Biomimetics, Biomaterials and Biomedical Engineering 49, pages 75-89.
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Vivek Kumar Singh, Hatem A. Rashwan, Mohamed Abdel-Nasser, Farhan Akram, Rami Haffar, Nidhi Pandey, Meritxell Arenas, Santiago Romani & Domenec Puig. 2021. State of the Art in Neural Networks and their Applications. State of the Art in Neural Networks and their Applications
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Mohammed Y. Kamil & Abdul-Lateef A. Jassam. (2020) Analysis of Tissue Abnormality in Mammography Images Using Gray Level Co-occurrence Matrix Method. Journal of Physics: Conference Series 1530:1, pages 012101.
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Mohamed Abdel-Nasser, Antonio Moreno, Mohamed A. Abdelwahab, Adel Saleh, Saddam Abdulwahab, Vivek K. Singh & Domenec Puig. (2019) Matching Tumour Candidate Points in Multiple Mammographic Views for Breast Cancer Detection. Matching Tumour Candidate Points in Multiple Mammographic Views for Breast Cancer Detection.
Moumen T. El-Melegy, Khaled M. Abo El-Magd, Samia A. Ali, Khaled F. Hussain & Yousef B. Mahdy. (2019) Ensemble of Multiple Classifiers for Automatic Multimodal Brain Tumor Segmentation. Ensemble of Multiple Classifiers for Automatic Multimodal Brain Tumor Segmentation.
Shaimaa Mostafa, Roaa Mubarak, Mohamed El-Adawy, Amr F. Ibrahim, Mohamed M. Gomaa & Rasha M. Kamal. (2019) Breast Cancer Detection Using Polynomial Fitting Applied on Contrast Enhanced Spectral Mammography. Breast Cancer Detection Using Polynomial Fitting Applied on Contrast Enhanced Spectral Mammography.
Mohamed Abdel-Nasser, Antonio Moreno & Domenec Puig. (2019) Breast Cancer Detection in Thermal Infrared Images Using Representation Learning and Texture Analysis Methods. Electronics 8:1, pages 100.
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Mantragar Vijaya Madhavi & T. Christy Bobby. 2019. Recent Trends in Image Processing and Pattern Recognition. Recent Trends in Image Processing and Pattern Recognition
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Habeba Mahmoud, Mohamed Abdel-Nasser & Osama A. Omer. (2018) Computer aided diagnosis system for skin lesions detection using texture analysis methods. Computer aided diagnosis system for skin lesions detection using texture analysis methods.
Mohamed Abdel-Nasser, Jaime Melendez, Antonio Moreno & Domenec Puig. (2016) The Impact of Pixel Resolution, Integration Scale, Preprocessing, and Feature Normalization on Texture Analysis for Mass Classification in Mammograms. International Journal of Optics 2016, pages 1-12.
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