On the pitfalls of entropy-based uncertainty for multi-class semi-supervised segmentation

Van Waerebeke, Martin, Lodygensky, Gregory et Dolz, Jose. 2022. « On the pitfalls of entropy-based uncertainty for multi-class semi-supervised segmentation ». In Uncertainty for Safe Utilization of Machine Learning in Medical Imaging : 4th International Workshop, UNSURE 2022, Held in Conjunction with MICCAI 2022 : Proceedings (Singapore, Singapore, Sept. 18, 2022) Coll. « Lecture Notes in Computer Science », vol. 13563. pp. 36-46. Springer Science and Business Media Deutschland GmbH.

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Item Type:	Conference proceeding
Editors:	Editors ORCID Sudre, C. H. UNSPECIFIED Sudre, C. H. UNSPECIFIED Baumgartner, C. F. UNSPECIFIED Dalca, A. UNSPECIFIED Dalca, A. UNSPECIFIED Wells, Iii W. M. UNSPECIFIED Qin, C. UNSPECIFIED Tanno, R. UNSPECIFIED Van Leemput, K. UNSPECIFIED Van Leemput, K. UNSPECIFIED Wells, Iii W. M. UNSPECIFIED
Professor:	Professor Dolz, José
Affiliation:	Génie logiciel et des technologies de l'information
Date Deposited:	17 Oct 2022 14:01
Last Modified:	17 Oct 2022 14:01
URI:	https://espace2.etsmtl.ca/id/eprint/25652

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