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

  • Qian Wang
  • Fausto Milletari
  • Hien V. Nguyen
  • Shadi Albarqouni
  • M. Jorge Cardoso
  • Nicola Rieke
  • Ziyue Xu
  • Konstantinos Kamnitsas
  • Vishal Patel
  • Badri Roysam
  • Steve Jiang
  • Kevin Zhou
  • Khoa Luu
  • Ngan Le
Publisher:Springer NatureISBN 13: 9783030333911ISBN 10: 3030333914

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Domain Adaptation and Representation Transfer and Medical Image Learning with Less Labels and Imperfect Data is written by Qian Wang and published by Springer Nature. It's available with International Standard Book Number or ISBN identification 3030333914 (ISBN 10) and 9783030333911 (ISBN 13).

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.