ENGLISH

Uncertainty for Safe Utilization of Machine Learning in Medical Imaging, and Graphs in Biomedical Image Analysis: Second International Workshop, UNSURE 2020, and Third International Workshop, GRAIL 2020, Held in Conjunction with MICCAI 2020, Lima, Peru, October 8, 2020, Proceedings

By William M. Wells , Koen Van Leemput , Tal Arbel , Enzo Ferrante , Sarah Parisot , Aristeidis Sotiras , Bartlomiej Papiez , Ryutaro Tanno , Adrian Dalca , Carole H. Sudre , Hamid Fehri , Christian F. Baumgartner

Book information

Publisher
Springer International Publishing;Springer
Year
2020
ISBN
9783030603649, 9783030603656
DOI
10.1007/978-3-030-60365-6
Language
english
Format
PDF
Filesize
44 MB (46460694 bytes)
Series
Lecture Notes in Computer Science 12443
Edition
1st ed.
Pages
XVII, 222\232
Time added
2021-01-06 05:41:07
Computer Science; Pattern Recognition; Image Proce

Description

This book constitutes the refereed proceedings of the Second International Workshop on Uncertainty for Safe Utilization of Machine Learning in Medical Imaging, UNSURE 2020, and the Third International Workshop on Graphs in Biomedical Image Analysis, GRAIL 2020, held in conjunction with MICCAI 2020, in Lima, Peru, in October 2020. The workshops were held virtually due to the COVID-19 pandemic. For UNSURE 2020, 10 papers from 18 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. GRAIL 2020 accepted 10 papers from the 12 submissions received. The workshop aims to bring together scientists that use and develop graph-based models for the analysis of biomedical images and to encourage the exploration of graph-based models for difficult clinical problems within a variety of biomedical imaging contexts.

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