株式会社極東書店トップ ＞ 商品一覧 ＞ Medical Image Learning with Limited and Noisy Data: Second International Workshop, MILLanD 2023, Held in Conjunction with MICCAI 2023, Vancouver, BC, Canada, October 8, 2023, Proceedings. 1st ed. 2023
商品詳細
Medical Image Learning with Limited and Noisy Data: Second International Workshop, MILLanD 2023, Held in Conjunction with MICCAI 2023, Vancouver, BC, Canada, October 8, 2023, Proceedings. 1st ed. 2023
・ISBN 978-3-031-47196-4 paper EUR 109.99
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★★★
| 著者・編者 | Xue, Zhiyun / Antani, Sameer / Zamzmi, Ghada / Yang, Feng / Rajaraman, Sivaramakrishnan / Huang, Sharon Xiaolei / Linguraru, Marius George / Liang, Zhaohui (eds.), |
|---|---|
| シリーズ | (Lecture Notes in Computer Science) |
| 出版社 | (Springer International Publishing AG, SZ) |
| 出版年月 | 2023 |
| ページ数 | 270 pp. |
| 言語 | ENG |
| ニュース番号 | ＜A01-82679＞ |
解説
This book consists of full papers presented in the 2nd workshop of "Medical Image Learning with Noisy and Limited Data (MILLanD)" held in conjunction with the 26th International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI 2023).
The 24 full papers presented were carefully reviewed and selected from 38 submissions. The conference focused on challenges and limitations of current deep learning methods applied to limited and noisy medical data and present new methods for training models using such imperfect data.