株式会社極東書店トップ ＞ 商品一覧 ＞ Domain Adaptation and Representation Transfer, and Affordable Healthcare and AI for Resource Diverse Global Health: Third MICCAI Workshop, DART 2021, and First MICCAI Workshop, FAIR 2021, Held in Conjunction with MICCAI 2021, Strasbourg, France, September 27 and October 1, 2021, Proceedings. 1st ed. 2021
商品詳細
Domain Adaptation and Representation Transfer, and Affordable Healthcare and AI for Resource Diverse Global Health: Third MICCAI Workshop, DART 2021, and First MICCAI Workshop, FAIR 2021, Held in Conjunction with MICCAI 2021, Strasbourg, France, September 27 and October 1, 2021, Proceedings. 1st ed. 2021
・ISBN 978-3-030-87721-7 paper EUR 64.99
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| 著者・編者 | Albarqouni, Shadi / Cardoso, M. Jorge / Dou, Qi / Kamnitsas, Konstantinos / Khanal, Bishesh / Rekik, Islem / Rieke, Nicola / Sheet, Debdoot / Tsaftaris, Sotirios / Xu, Daguang (eds.), |
|---|---|
| シリーズ | (Lecture Notes in Computer Science) |
| 出版社 | (Springer Nature Switzerland AG, SZ) |
| 出版年月 | 2021 |
| ページ数 | 264 pp. |
| 言語 | ENG |
| ニュース番号 | ＜A01-92646＞ |
解説
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.
For FAIR 2021, 10 papers from 17 submissions were accepted for publication. They focus on Image-to-Image Translation particularly for low-dose or low-resolution settings; Model Compactness and Compression; Domain Adaptation and Transfer Learning; Active, Continual and Meta-Learning.