Improving the Performance and Explainability of Mammogram Classifiers with Local Annotations

von Ness, Lior
Veröffentlicht in iMIMIC (3. : 2020 : Online) Interpretable and annotation-efficient learning for medical image computing (2020)

Multi-task Learning for Detection and Classification of Cancer in Sreening Mammography

von Cea, Maria V. Sainz de
Veröffentlicht in MICCAI (23. : 2020 : Online) Medical image computing and computer assisted intervention - MICCAI 2020 ; Part 6 (2020)