Domain Adaptation and Representation Transfer

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58,84 

5th MICCAI Workshop, DART 2023, Held in Conjunction with MICCAI 2023, Vancouver, BC, Canada, October 12,2023, Proceedings, Lecture Notes in Computer Science 14293

ISBN: 3031458567
ISBN 13: 9783031458569
Herausgeber: Lisa Koch/M Jorge Cardoso/Enzo Ferrante et al
Verlag: Springer Verlag GmbH
Umfang: x, 170 S., 4 s/w Illustr., 40 farbige Illustr., 170 p. 44 illus., 40 illus. in color.
Erscheinungsdatum: 14.10.2023
Auflage: 1/2024
Produktform: Kartoniert
Einband: Kartoniert
Artikelnummer: 693986 Kategorie:

Beschreibung

This book constitutes the refereed proceedings of the 5th MICCAI Workshop on Domain Adaptation and Representation Transfer, DART 2023, which was held in conjunction with MICCAI 2023, in October 2023.  The 16 full papers presented in this book were carefully reviewed and selected from 32 submissions. They 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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E-Mail: juergen.hartmann@springer.com

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