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Domain Adaptation And Representation Transfer And Affordable Healthcare And Ai For Resource Diverse Global Health Third Miccai Workshop Dart 2021 1st Edition Shadi Albarqouni

  • SKU: BELL-35006716
Domain Adaptation And Representation Transfer And Affordable Healthcare And Ai For Resource Diverse Global Health Third Miccai Workshop Dart 2021 1st Edition Shadi Albarqouni
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Domain Adaptation And Representation Transfer And Affordable Healthcare And Ai For Resource Diverse Global Health Third Miccai Workshop Dart 2021 1st Edition Shadi Albarqouni instant download after payment.

Publisher: Springer
File Extension: PDF
File size: 44.07 MB
Pages: 279
Author: Shadi Albarqouni, M. Jorge Cardoso, Qi Dou, Konstantinos Kamnitsas, Bishesh Khanal, Islem Rekik, Nicola Rieke, Debdoot Sheet, Sotirios Tsaftaris, Daguang Xu, Ziyue Xu
ISBN: 9783030877217, 3030877213
Language: English
Year: 2021
Edition: 1
Volume: 12968

Product desciption

Domain Adaptation And Representation Transfer And Affordable Healthcare And Ai For Resource Diverse Global Health Third Miccai Workshop Dart 2021 1st Edition Shadi Albarqouni by Shadi Albarqouni, M. Jorge Cardoso, Qi Dou, Konstantinos Kamnitsas, Bishesh Khanal, Islem Rekik, Nicola Rieke, Debdoot Sheet, Sotirios Tsaftaris, Daguang Xu, Ziyue Xu 9783030877217, 3030877213 instant download after payment.

This book constitutes the refereed proceedings of the Third MICCAI Workshop on Domain Adaptation and Representation Transfer, DART 2021, and the First MICCAI Workshop on Affordable Healthcare and AI for Resource Diverse Global Health, FAIR 2021, held in conjunction with MICCAI 2021, in September/October 2021. The workshops were planned to take place in Strasbourg, France, but were held virtually due to the COVID-19 pandemic.
DART 2021 accepted 13 papers from the 21 submissions received. The workshop aims at creating a discussion forum to compare, evaluate, and 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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