Deep Learning to Improve Breast Cancer Early Detection on Screening Mammography

30 Aug 2017Li ShenLaurie R. MargoliesJoseph H. RothsteinEugene FluderRussell B. McBrideWeiva Sieh

The rapid development of deep learning, a family of machine learning techniques, has spurred much interest in its application to medical imaging problems. Here, we develop a deep learning algorithm that can accurately detect breast cancer on screening mammograms using an "end-to-end" training approach that efficiently leverages training datasets with either complete clinical annotation or only the cancer status (label) of the whole image... (read more)

PDF Abstract

Results from the Paper

  Submit results from this paper to get state-of-the-art GitHub badges and help the community compare results to other papers.