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

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

Qian Wang editor M Jorge Cardoso editor Fausto Milletari editor Hien V Nguyen editor Shadi Albarqouni editor Nicola Rieke editor Ziyue Xu editor Konstantinos Kamnitsas editor

Format:Paperback

Publisher:Springer Nature Switzerland AG

Published:12th Oct '19

Currently unavailable, and unfortunately no date known when it will be back

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

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. 

ISBN: 9783030333904

Dimensions: unknown

Weight: unknown

254 pages

1st ed. 2019