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2. Machine learning techniques in breast cancer preventive diagnosis: a review
3. Note of clarification of data in the paper entitled association between BRIP1 (BACH1) polymorphisms and breast cancer risk
4. Psychosocial experiences of breast cancer survivors: a meta-review
5. Semantic segmentation of breast cancer images using DenseNet with proposed PSPNet
6. Hybrid sigmoid activation function and transfer learning assisted breast cancer classification on histopathological images
7. A systematic review of machine and deep learning techniques for the identification and classification of breast cancer through medical image modalities
8. Cancer detection and segmentation using machine learning and deep learning techniques: a review
9. Comparative Analysis of Machine Learning Algorithms in Breast Cancer Classification
10. FPGA implementation of breast cancer detection using SVM linear classifier
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