Research Area:  Machine Learning

Abstract:

This review provides an overview of current applications of deep learning methods within breast radiology. The diagnostic capabilities of deep learning in breast radiology continue to improve, giving rise to the prospect that these methods may be integrated not only into detection and classification of breast lesions, but also into areas such as risk estimation and prediction of tumor responses to therapy. Remaining challenges include limited availability of high-quality data with expert annotations and ground truth determinations, the need for further validation of initial results, and unresolved medicolegal considerations.

Keywords:  

Author(s) Name:  William C. Ou, Dogan Polat & Basak E. Dogan

Publisher name:  Springer

DOI:  10.1007/s00330-020-07640-9

Volume Information:   volume 31, pages: 4872–4885 (2021)

Paper Link:   https://link.springer.com/article/10.1007/s00330-020-07640-9