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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 / Carole H. Sudre, Christian F. Baumgartner, Adrian Dalca, Raghav Mehta, Chen Qin, William M. Wells, editors.

By: Contributor(s): Material type: TextTextSeries: Lecture notes in computer science ; 14291.Publisher: Cham : Springer, [2023]Copyright date: ©2023Description: 1 online resource (xiii, 220 pages) : illustrations (chiefly color)Content type:
  • text
Media type:
  • computer
Carrier type:
  • online resource
ISBN:
  • 9783031443367
  • 3031443365
Other title:
  • UNSURE 2023
Subject(s): Genre/Form: Additional physical formats: No titleDDC classification:
  • 616.07/54 23/eng/20231012
LOC classification:
  • RC78.7.D53
Online resources:
Contents:
Uncertainty estimation and modelling -- Out of Distribution management and domain shift robustness -- Bayesian deep learning and uncertainty calibration.
Summary: 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.
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Conference proceedings.

Includes author index.

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.

Uncertainty estimation and modelling -- Out of Distribution management and domain shift robustness -- Bayesian deep learning and uncertainty calibration.

Online resource; title from PDF title page (SpringerLink, viewed October 12, 2023).

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