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

Language: English

Published by Springer, Springer Okt 2020, 2020

3030603644 / 9783030603649

Series: Book 207 of 300 - Lecture Notes in Computer Science

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This item is printed on demand - Print on Demand Titel. Neuware -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.Springer-Verlag KG, Sachsenplatz 4-6, 1201 Wien 244 pp. Englisch.

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Title
Uncertainty for Safe Utilization of Machine Learning in Medical Imaging, and Graphs in Biomedical Image Analysis
Author
Carole H. Sudre
Publisher
Springer, Springer Okt 2020
Publication year
2020
Condition
Neu
Binding
Taschenbuch
Language
English
ISBN 10
3030603644
ISBN 13
9783030603649
Item weight
376 grams
Dimensions
235x155x14 mm
Series
Book 207 of 300: Lecture Notes in Computer Science

buchversandmimpf2000

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