Uncertainty for Safe Utilization of Machine Learning in Medical Imaging

Beschreibung

This book constitutes the refereed proceedings of the 7th Workshop on Uncertainty for Safe Utilization of Machine Learning in Medical Imaging, UNSURE 2025, held in conjunction with MICCAI 2025, in Daejon, South Korea, on September 27, 2025.

The 22 full papers included in this book were carefully reviewed and selected from 33 submissions. They were organized in topical sections as follows: Risk management, uncertainty interpretation and visualisation; domain shift and out-of-distribution management; uncertainty calibration; and uncertainty modelling and estimation, Bayesian deep learning.

Autor*in

Carole H. Sudre

Themen in »Uncertainty for Safe Utilization of Machine Learning in Medical Imaging«

Uncertainty modelling Medical imaging Annotation uncertainty Machine learning Clinical pipelines Out of distribution Deep learning Risk management Uncertainty Calibration

Stimmen zu »Uncertainty for Safe Utilization of Machine Learning in Medical Imaging«

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