株式会社極東書店トップ ＞ 商品一覧 ＞ Medical Image Learning with Limited and Noisy Data: First International Workshop, MILLanD 2022, Held in Conjunction with MICCAI 2022, Singapore, September 22, 2022, Proceedings. 2022 ed.
商品詳細
Medical Image Learning with Limited and Noisy Data: First International Workshop, MILLanD 2022, Held in Conjunction with MICCAI 2022, Singapore, September 22, 2022, Proceedings. 2022 ed.
・ISBN 978-3-031-16759-1 paper EUR 49.99
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| 著者・編者 | Zamzmi, Ghada / Antani, Sameer / Bagci, Ulas / Linguraru, Marius George / Rajaraman, Sivaramakrishnan / Xue, Zhiyun (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 | 240 pp. |
| 言語 | ENG |
| ニュース番号 | ＜A02-58567＞ |
解説
This book constitutes the proceedings of the First Workshop on Medical Image Learning with Limited and Noisy Data, MILLanD 2022, held in conjunction with MICCAI 2022. The conference was held in Singapore. For this workshop, 22 papers from 54 submissions were accepted for publication. They selected papers focus on the 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.