株式会社極東書店トップ ＞ 商品一覧 ＞ Brain Tumor Segmentation, and Cross-Modality Domain Adaptation for Medical Image Segmentation: MICCAI Challenges, BraTS 2023 and CrossMoDA 2023, Held in Conjunction with MICCAI 2023, Vancouver, BC, Canada, October 12 and 8, 2024, Proceedings. 2024 ed.
商品詳細
Brain Tumor Segmentation, and Cross-Modality Domain Adaptation for Medical Image Segmentation: MICCAI Challenges, BraTS 2023 and CrossMoDA 2023, Held in Conjunction with MICCAI 2023, Vancouver, BC, Canada, October 12 and 8, 2024, Proceedings. 2024 ed.
・ISBN 978-3-031-76162-1 paper EUR 73.99
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| 著者・編者 | Baid, Ujjwal / Dorent, Reuben / Malec, Sylwia / Pytlarz, Monika / Su, Ruisheng / Wijethilake, Navodini / Bakas, Spyridon / Crimi, Alessandro (eds.), |
|---|---|
| シリーズ | (Lecture Notes in Computer Science) |
| 出版社 | (Springer International Publishing AG, SZ) |
| 出版年月 | 2024 |
| ページ数 | 397 pp. |
| 言語 | ENG |
| ニュース番号 | ＜A03-72573＞ |
解説
This book constitutes the refereed proceedings of the Brain Tumor Segmentation Challenge, BraTS 2023, as well as the Cross-Modality Domain Adaptation Challenge, CrossMoDA 2023. These events were held in conjunction with the Medical Image Computing for Computer Assisted Intervention Conference, MICCAI 2023, during October 8-12, 2023.
The 37 full papers presented in this volume were selected form 23 submissions. They describe the research of computational scientists and clinical researchers working on brain lesions, and specifically glioma, multiple sclerosis, cerebral stroke, traumatic brain injuries, vestibular schwannoma, and white matter hyper-intensities of presumed vascular origin.