Uncertainty for Safe Utilization of Machine Learning in Medical Imaging, and Graphs in Biomedical Image Analysis - Couverture souple

 
9783030603649: Uncertainty for Safe Utilization of Machine Learning in Medical Imaging, and Graphs in Biomedical Image Analysis
Couverture souple
ISBN 10 : 3030603644 ISBN 13 : 9783030603649
Editeur : Springer, 2020

Synopsis

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.

Les informations fournies dans la section « Synopsis » peuvent faire référence à une autre édition de ce titre.

Éditeur
Springer
Date d'édition
2020
Langue
anglais
ISBN 10 
3030603644
ISBN 13 
9783030603649
Reliure
Broché
Numéro d'édition
1
Nombre de pages
244
Éditeur
Sudre Carole H., Fehri Hamid, Arbel Tal, Baumgartner Christian F., Dalca Adrian, Tanno Ryutaro, Van Leemput Koen, Wells William M., Sotiras Aristeidis
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