Optimizing and Visualizing Deep Learning for Benign/Malignant Classification in Breast Tumors

17 May 2017Darvin YiRebecca Lynn SawyerDavid Cohn IIIJared DunnmonCarson LamXuerong XiaoDaniel Rubin

Breast cancer has the highest incidence and second highest mortality rate for women in the US. Our study aims to utilize deep learning for benign/malignant classification of mammogram tumors using a subset of cases from the Digital Database of Screening Mammography (DDSM)... (read more)

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