Deep Learning to Distinguish Recalled but Benign Mammography Images in Breast Cancer Screening

Abstract

This study demonstrates that automatic deep learning CNN methods can identify nuanced mammographic imaging features to distinguish recalled-benign images from malignant and negative cases, which may lead to a computerized clinical toolkit to help reduce false recalls.