A Dempster-Shafer Approach to Trustworthy AI With Application to Fetal Brain MRI Segmentation

Deep learning models for medical image segmentation can fail unexpectedly and spectacularly for pathological cases and images acquired at different centers than training images, with labeling errors that violate expert knowledge. Such errors undermine the trustworthiness of deep learning models for...

Description complète

Détails bibliographiques

Publié dans:	IEEE transactions on pattern analysis and machine intelligence. - 1979. - 46(2024), 5 vom: 10. Mai, Seite 3784-3795
Auteur principal:	Fidon, Lucas (Auteur)
Autres auteurs:	Aertsen, Michael, Kofler, Florian, Bink, Andrea, David, Anna L, Deprest, Thomas, Emam, Doaa, Guffens, Frederic, Jakab, Andras, Kasprian, Gregor, Kienast, Patric, Melbourne, Andrew, Menze, Bjoern, Mufti, Nada, Pogledic, Ivana, Prayer, Daniela, Stuempflen, Marlene, Van Elslander, Esther, Ourselin, Sebastien, Deprest, Jan, Vercauteren, Tom
Format:	Article en ligne
Langue:	English
Publié:	2024
Accès à la collection:	IEEE transactions on pattern analysis and machine intelligence
Sujets:	Journal Article Research Support, Non-U.S. Gov't