Deep learning for predicting future lesion emergence in high-risk breast MRI screening: a feasibility study

Abstract Background International societies have issued guidelines for high-risk breast cancer (BC) screening, recommending contrast-enhanced magnetic resonance imaging (CE-MRI) of the breast as a supplemental diagnostic tool. In our study, we tested...

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Bibliographic Details
Main Authors: Burger, Bianca, Bernathova, Maria, Seeböck, Philipp, Singer, Christian F., Helbich, Thomas H., Langs, Georg
Other Authors: Massachusetts Institute of Technology. Computer Science and Artificial Intelligence Laboratory
Format: Article
Language:English
Published: Springer Vienna 2023
Online Access:https://hdl.handle.net/1721.1/150905