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- 2019
Deep learning networks find unique mammographic differences in previous negative mammograms between interval and screen-detected cancers: a case-case studyDOI: 10.1186/s40644-019-0227-3 Keywords: Breast Cancer, Masking, Mammography, Interval Cancer, Deep learning, Transfer learning, Neural network, Breast density Abstract: Schematic of the architecture of the deep learning network used in this study. YxY conv, M/N？=？M kernels of YxYx3 size and stride length of N (N？=？1 if only M is listed). Fully Connected (FC) Layer？=？Dense (256), Dropout, Dense (1
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