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

 
9783030333904: Domain Adaptation and Representation Transfer and Medical Image Learning with Less Labels and Imperfect Data
Couverture souple
ISBN 10 : 3030333906 ISBN 13 : 9783030333904
Editeur : Springer, 2019

Synopsis

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. 

Les informations fournies dans la section « Synopsis » peuvent faire référence à une autre édition de ce titre.

À propos de la quatrième de couverture

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.

Les informations fournies dans la section « A propos du livre » peuvent faire référence à une autre édition de ce titre.

Éditeur
Springer
Date d'édition
2019
Langue
anglais
ISBN 10 
3030333906
ISBN 13 
9783030333904
Reliure
Broché
Nombre de pages
254
Éditeur
Wang Qian, Milletari Fausto, Nguyen Hien V., Albarqouni Shadi, Cardoso M. Jorge
Coordonnées du fabricant
Springer Nature Customer Service Center GmbH
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