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Found 2 papers, 1 papers with code
MV-Swin-T: Mammogram Classification with Multi-view Swin Transformer
Traditional deep learning approaches for breast cancer classification has predominantly concentrated on single-view analysis.
ConnectedUNets++: Mass Segmentation from Whole Mammographic Images
Deep learning has made a breakthrough in medical image segmentation in recent years due to its ability to extract high-level features without the need for prior knowledge.
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