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2. Semantic segmentation of breast cancer images using DenseNet with proposed PSPNet
3. Hybrid sigmoid activation function and transfer learning assisted breast cancer classification on histopathological images
4. A systematic review of machine and deep learning techniques for the identification and classification of breast cancer through medical image modalities
5. Cancer detection and segmentation using machine learning and deep learning techniques: a review
6. FPGA implementation of breast cancer detection using SVM linear classifier
7. Improved DeepMitosisNet framework for detection of mitosis in histopathology images
8. Breast cancer: new mammography dual-view classification approach based on pre-processing and transfer learning techniques
9. Rapid tri-net: breast cancer classification from histology images using rapid tri-attention network
10. Multimodal classification of breast cancer using feature level fusion of mammogram and ultrasound images in machine learning paradigm
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