Domain Adaptation and Representation Transfer

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58,84 

4th MICCAI Workshop, DART 2022, Held in Conjunction with MICCAI 2022, Singapore, September 22,2022, Proceedings, Lecture Notes in Computer Science 13542

ISBN: 3031168518
ISBN 13: 9783031168512
Herausgeber: Konstantinos Kamnitsas/Lisa Koch/Mobarakol Islam et al
Verlag: Springer Verlag GmbH
Umfang: x, 147 S., 4 s/w Illustr., 46 farbige Illustr., 147 p. 50 illus., 46 illus. in color.
Erscheinungsdatum: 20.09.2022
Auflage: 1/2022
Produktform: Kartoniert
Einband: Kartoniert
Artikelnummer: 6434973 Kategorie:

Beschreibung

This book constitutes the refereed proceedings of the 4th MICCAI Workshop on Domain Adaptation and Representation Transfer, DART 2022, held in conjunction with MICCAI 2022, in September 2022.  DART 2022 accepted 13 papers from the 25 submissions received. The workshop aims at creating a discussion forum to compare, evaluate, and discuss methodological advancements and ideas that can improve the applicability of machine learning (ML)/deep learning (DL) approaches to clinical setting by making them robust and consistent across different domains. 

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