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

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

by Qian WangFausto Milletari Shadi Albarqouni and others
Paperback
Publication Date: 16/12/2019

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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
9783030333904
Category:
Computer vision
Format:
Paperback
Publication Date:
16-12-2019
Publisher:
Springer Nature Switzerland AG
Country of origin:
Switzerland
Pages:
254
Dimensions (mm):
235x155mm
Weight:
0.45kg

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