株式会社極東書店トップ ＞ 商品一覧 ＞ Distributed, Collaborative, and Federated Learning, and Affordable AI and Healthcare for Resource Diverse Global Health: Third MICCAI Workshop, DeCaF 2022, and Second MICCAI Workshop, FAIR 2022, Held in Conjunction with MICCAI 2022, Singapore, September 18 and 22, 2022, Proceedings. 1st ed. 2022
商品詳細
Distributed, Collaborative, and Federated Learning, and Affordable AI and Healthcare for Resource Diverse Global Health: Third MICCAI Workshop, DeCaF 2022, and Second MICCAI Workshop, FAIR 2022, Held in Conjunction with MICCAI 2022, Singapore, September 18 and 22, 2022, Proceedings. 1st ed. 2022
・ISBN 978-3-031-18522-9 paper EUR 49.99
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| 著者・編者 | Albarqouni, Shadi / Bakas, Spyridon / Bano, Sophia / Cardoso, M. Jorge / Khanal, Bishesh / Landman, Bennett / Li, Xiaoxiao / Qin, Chen / Rekik, Islem / Rieke, Nicola (eds.), |
|---|---|
| シリーズ | (Lecture Notes in Computer Science) |
| 出版社 | (Springer International Publishing AG, SZ) |
| 出版年月 | 2022 |
| ページ数 | 204 pp. |
| 言語 | ENG |
| ニュース番号 | ＜A02-60730＞ |
解説
DeCaF 2022 accepted 14 papers from the 18 submissions received. The workshop aims at creating a scientific discussion focusing on the comparison, evaluation, and discussion of methodological advancement and practical ideas about machine learning applied to problems where data cannot be stored in centralized databases or where information privacy is a priority.
For FAIR 2022, 4 papers from 9 submissions were accepted for publication. The topics of the accepted submissions focus on deep ultrasound segmentation, portable OCT image quality enhancement, self-attention deep networks and knowledge distillation in low-regime setting.