1. Deep-Learning-Based Computer-Aided Systems for Breast Cancer Imaging: A Critical Review
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2. Pathomics and Deep Learning Classification of a Heterogeneous Fluorescence Histology Image Dataset
   Georgios S. Ioannidis et al, 2021, Applied Sciences CrossRef
3. Meme Kanseri Tümörlerinin Derin Öğrenme Algoritmaları ile Sınıflandırılması
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4. Multi-Channel Local Binary Pattern Guided Convolutional Neural Network for Breast Cancer Classification
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5. Breast density measurement methods on mammograms: a review
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6. Breast cancer image analysis using deep learning techniques – a survey
   Soumya Sara Koshy et al, 2022, Health Technol. CrossRef
7. A Genetic Programming Approach to Automatically Construct Informative Attributes for Mammographic Density Classification
   Qurrat UI Ain et al, 2022 CrossRef
8. Dual-Feature CNN-SVM Method for Breast Mass Tissue Abnormality Classification on Digital Mammography Images Adapted to Breast Density
   Noor Fadzilah Razali et al, 2023 CrossRef
9. Investigating the value of radiomics stemming from DSC quantitative biomarkers in IDH mutation prediction in gliomas
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10. A novel exploratory hybrid deep neural network to predict breast cancer for mammography based on wavelet features
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11. A Machine Learning Framework for Hair Type Categorization to Optimize the Hair Removal Algorithm in Dermatoscopy Images
    Georgios S. Ioannidis et al, 2023 CrossRef
12. Optimization of ReLU Activation Function for Deep-Learning-based Breast Cancer Classification on Mammogram Images
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