Title Uncertainty for safe utilization of machine learning in medical imaging : 4th International Workshop, UNSURE 2022, held in conjunction with MICCAI 2022, Singapore, September 18, 2022, Proceedings / Carole H. Sudre, Christian F. Baumgartner, Adrian Dalca, Chen Qin, Ryutaro Tanno, Koen Van Leemput, William M. Wells III (eds.)

Published Cham, Switzerland : Springer, 2022

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Description 1 online resource (x, 147 pages) : illustrations (some color) Series Lecture notes in computer science, 1611-3349 ; 13563 Lecture notes in computer science ; 13563. 1611-3349 Contents Uncertainty Modelling -- MOrphologically-aware Jaccard-based ITerative Optimization (MOJITO) for Consensus Segmentation -- Quantification of Predictive Uncertainty via Inference-Time Sampling -- Uncertainty categories in medical image segmentation: a study of source-related diversity. -- On the pitfalls of entropy-based uncertainty for multi-class semi-supervised segmentation -- What Do Untargeted Adversarial Examples Reveal In Medical Image Segmentation?. -- Uncertainty calibration -- Improved post-hoc probability calibration for out-of-domain MRI segmentation. -- Improving error detection in deep learning-based radiotherapy autocontouring using Bayesian uncertainty -- A Plug-and-Play Method to Compute Uncertainty -- Calibration of Deep Medical Image Classifiers: An Empirical Comparison using Dermatology and Histopathology Datasets -- Annotation uncertainty and out of distribution management -- nnOOD: A Framework for Benchmarking Self-supervised Anomaly Localisation Methods -- Generalized Probabilistic U-Net for medical image segmentation -- Joint paraspinal muscle segmentation and inter-rater labeling variability prediction with multi-task TransUNet -- Information Gain Sampling for Active Learning in Medical Image Classification Summary This book constitutes the refereed proceedings of the Fourth Workshop on Uncertainty for Safe Utilization of Machine Learning in Medical Imaging, UNSURE 2022, held in conjunction with MICCAI 2022. The conference was hybrid event held from Singapore. For this workshop, 13 papers from 22 submissions were accepted for publication. They focus on developing awareness and encouraging research in the field of uncertainty modelling to enable safe implementation of machine learning tools in the clinical world Notes Includes author index Bibliography Includes bibliographical references and index Notes Online resource; title from PDF title page (SpringerLink, viewed September 21, 2022) Subject Diagnostic imaging -- Data processing -- Congresses Artificial intelligence -- Medical applications -- Congresses Machine learning -- Congresses Artificial intelligence -- Medical applications Diagnostic imaging -- Data processing Machine learning Genre/Form Electronic books proceedings (reports) Conference papers and proceedings Conference papers and proceedings. Actes de congrès. Form Electronic book Author Sudre, Carole H., editor. Baumgartner, Christian (Professor of health care engineering), editor. Dalca, Adrian V. (Adrian Vasile), editor. Qin, Chen, editor. Tanno, Ryutaro, editor. Leemput, Koen van, editor. Wells, William M., III, editor. International Conference on Medical Image Computing and Computer-Assisted Intervention (25th : 2022 : Singapore ; Online) ISBN 9783031167492 303116749X 9788303116741 8303116746

Other Titles UNSURE 2022

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