Optimizing Breast Cancer Detection in Mammograms: A Comprehensive Study of Transfer Learning, Resolution Reduction, and Multi-View Classification
Paper
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2503.19945
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Published
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1
This is the EfficientNet-B3 based multiple-view model from the paper: https://arxiv.org/abs/2503.19945.
This model achieved the best (to my knowledge and by the time of the paper) AUC for CBIS-DDSM dataset, using original test division.
This model achieves an AUC of 0.8658. Considering only the mammograms that has CC and MLO views (N=2.694 total, for training and testing).
Please find code and inference instructions here: https://github.com/dpetrini/multiple-view
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