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 /
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, MICCA...
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| 団体著者: | |
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| その他の著者: | , , , , , , , |
| フォーマット: | 電子媒体 eBook |
| 言語: | 英語 |
| 出版事項: |
Cham :
Springer Nature Switzerland : Imprint: Springer,
2024.
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| 版: | 1st ed. 2024. |
| シリーズ: | Lecture Notes in Computer Science,
14669 |
| 主題: | |
| オンライン・アクセス: | https://doi.org/10.1007/978-3-031-76163-8 |
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| 要約: | 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. |
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| 物理的記述: | XII, 397 p. 128 illus., 109 illus. in color. online resource. |
| ISBN: | 9783031761638 |
| ISSN: | 1611-3349 ; |
| DOI: | 10.1007/978-3-031-76163-8 |