Uncertainty for Safe Utilization of Machine Learning in Medical Imaging
5th International Workshop, UNSURE 2023, Held in Conjunction with MICCAI 2023, Vancouver, BC, Canada, October 12, 2023, Proceedings
(Sprache: Englisch)
This book constitutes the refereed proceedings of the 5th Workshop on Uncertainty for Safe Utilization of Machine Learning in Medical Imaging, UNSURE 2023, held in conjunction with MICCAI 2023 in Vancouver, Canada, in October 2023.
For this workshop,...
For this workshop,...
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Klappentext zu „Uncertainty for Safe Utilization of Machine Learning in Medical Imaging “
This book constitutes the refereed proceedings of the 5th Workshop on Uncertainty for Safe Utilization of Machine Learning in Medical Imaging, UNSURE 2023, held in conjunction with MICCAI 2023 in Vancouver, Canada, in October 2023. For this workshop, 21 papers from 32 submissions were accepted for publication. The accepted papers cover the fields of uncertainty estimation and modeling, as well as out of distribution management, domain shift robustness, Bayesian deep learning and uncertainty calibration.
Inhaltsverzeichnis zu „Uncertainty for Safe Utilization of Machine Learning in Medical Imaging “
Uncertainty estimation and modelling.- Out of Distribution management and domain shift robustness.- Bayesian deep learning and uncertainty calibration.
Bibliographische Angaben
- 2023, 1st ed. 2023, XIII, 220 Seiten, 54 farbige Abbildungen, Masse: 15,5 x 23,5 cm, Kartoniert (TB), Englisch
- Herausgegeben: Carole H. Sudre, Christian F. Baumgartner, Adrian Dalca, Raghav Mehta, Chen Qin, William M. Wells
- Verlag: Springer, Berlin
- ISBN-10: 3031443357
- ISBN-13: 9783031443350
Sprache:
Englisch
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