FRANÇAIS
A showcase of ÉTS researchers’ publications and other contributions
SEARCH

Deep interpretable classification and weakly-supervised segmentation of histology images via max-min uncertainty

Belharbi, Soufiane, Rony, Jérôme, Dolz, Jose, Ben Ayed, Ismail, McCaffrey, Luke and Granger, Eric. 2022. « Deep interpretable classification and weakly-supervised segmentation of histology images via max-min uncertainty ». IEEE Transactions on Medical Imaging, vol. 41, nº 3. pp. 702-714.
Compte des citations dans Scopus : 13.

The full text of this document is not available here.
Rechercher dans Google Scholar
Item Type: Peer reviewed article published in a journal
Professor:
Professor
Dolz, José
Ben Ayed, Ismail
Granger, Éric
Affiliation: Génie logiciel et des technologies de l'information, Génie des systèmes, Génie des systèmes
Date Deposited: 26 Nov 2021 19:18
Last Modified: 07 Apr 2022 17:31
URI: https://espace2.etsmtl.ca/id/eprint/23613

Actions (login required)

View Item View Item