Domain Adaptation and Representation Transfer: 4th MICCAI Workshop, DART 2022, Held in Conjunction with MICCAI 2022, Singapore, September 22, 2022, Proceedings. Questo articolo non è disponibile.
Lingua: inglese
Editore: Springer, 2022
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157 pages. 9.25x6.10x0.35 inches. In Stock. This item is printed on demand.
Codice articolo __3031168518
- Titolo
- Domain Adaptation and Representation Transfer: 4th MICCAI Workshop, DART 2022, Held in Conjunction with MICCAI 2022, Singapore, September 22, 2022, Proceedings
- Autore
- Kamnitsas, Konstantinos (Edited by)/ Koch, Lisa (Edited by)/ Islam, Mobarakol (Edited by)/ Xu, Ziyue (Edited by)/ Cardoso, Jorge (Edited by)/ Dou, Qi (Edited by)/ Rieke, Nicola (Edited by)/ Tsaftaris, Sotirios (Edited by)
- Editore
- Springer
- Anno di pubblicazione
- 2022
- Condizione
- Brand New
- Rilegatura
- Paperback
- Lingua
- inglese
- ISBN 10
- 3031168518
- ISBN 13
- 9783031168512
- Peso dell'articolo
- 0,26 chilogrammi
This book constitutes the refereed proceedings of the 4th MICCAI Workshop on Domain Adaptation and Representation Transfer, DART 2022, held in conjunction with MICCAI 2022, in September 2022.
DART 2022 accepted 13 papers from the 25 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.
DART 2022 accepted 13 papers from the 25 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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