Uncertainty for Safe Utilization of Machine Learning in Medical Imaging, and Graphs in Biomedical Image Analysis / Lecture Notes in Computer Science Bd.12443 (PDF)
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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.
- 2020, 1st ed. 2020, 222 Seiten, Englisch
- Herausgegeben: Carole H. Sudre, Bartlomiej Papiez, Enzo Ferrante, Sarah Parisot, Hamid Fehri, Tal Arbel, Christian F. Baumgartner, Adrian Dalca, Ryutaro Tanno, Koen van Leemput, William M. Wells, Aristeidis Sotiras
- Verlag: Springer International Publishing
- ISBN-10: 3030603652
- ISBN-13: 9783030603656
- Erscheinungsdatum: 05.10.2020
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- Größe: 43 MB
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