Domain Adaptation and Representation Transfer and Medical Image Learning with Less Labels and Imperfect Data

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First MICCAI Workshop, DART 2019, and First International Workshop, MIL3ID 2019, Shenzhen, Held in Conjunction with MICCAI 2019, Shenzhen, China, October 13 and 17,2019, Proceedings, Lecture Notes in Computer Science 11795 – Image Processing, Computer Vision, Pattern Recognition, and Graphics

ISBN: 3030333906
ISBN 13: 9783030333904
Herausgeber: Qian Wang/Fausto Milletari/Hien V Nguyen et al
Verlag: Springer Verlag GmbH
Umfang: xvii, 254 S., 34 s/w Illustr., 79 farbige Illustr., 254 p. 113 illus., 79 illus. in color.
Erscheinungsdatum: 12.10.2019
Auflage: 1/2019
Produktform: Kartoniert
Einband: Kartoniert
Artikelnummer: 7961257 Kategorie:

Beschreibung

This book constitutes the refereed proceedings of the First MICCAI Workshop on Domain Adaptation and Representation Transfer, DART 2019, and the First International Workshop on Medical Image Learning with Less Labels and Imperfect Data, MIL3ID 2019, held in conjunction with MICCAI 2019, in Shenzhen, China, in October 2019. DART 2019 accepted 12 papers for publication out of 18 submissions. The papers deal with methodological advancements and ideas that can improve the applicability of machine learning and deep learning approaches to clinical settings by making them robust and consistent across different domains. MIL3ID accepted 16 papers out of 43 submissions for publication, dealing with best practices in medical image learning with label scarcity and data imperfection. 

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E-Mail: juergen.hartmann@springer.com

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