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Titlebook: Myocardial Pathology Segmentation Combining Multi-Sequence Cardiac Magnetic Resonance Images; First Challenge, Myo Xiahai Zhuang,Lei Li Con

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發(fā)表于 2025-3-21 17:53:03 | 只看該作者 |倒序瀏覽 |閱讀模式
書目名稱Myocardial Pathology Segmentation Combining Multi-Sequence Cardiac Magnetic Resonance Images
副標(biāo)題First Challenge, Myo
編輯Xiahai Zhuang,Lei Li
視頻videohttp://file.papertrans.cn/642/641955/641955.mp4
叢書名稱Lecture Notes in Computer Science
圖書封面Titlebook: Myocardial Pathology Segmentation Combining Multi-Sequence Cardiac Magnetic Resonance Images; First Challenge, Myo Xiahai Zhuang,Lei Li Con
描述This book constitutes the First Myocardial Pathology Segmentation Combining Multi-Sequence CMR Challenge, MyoPS 2020, which was held in conjunction with the 23rd International Conference on Medical Image Computing and Computer-Assisted Intervention, MICCAI 2020, in Lima, Peru, in October 2020. The challenge took place virtually due to the COVID-19 crisis..The 12 full and 4 short papers presented in this volume were carefully reviewed and selected form numerous submissions. This challenge aims not only to benchmark various myocardial pathology segmentation algorithms, but also to cover the topic of general cardiac image segmentation, registration and modeling, and raise discussions for further technical development and clinical deployment..
出版日期Conference proceedings 2020
關(guān)鍵詞artificial intelligence; automatic segmentations; cardiac image modeling; cardiac image registration; ca
版次1
doihttps://doi.org/10.1007/978-3-030-65651-5
isbn_softcover978-3-030-65650-8
isbn_ebook978-3-030-65651-5Series ISSN 0302-9743 Series E-ISSN 1611-3349
issn_series 0302-9743
copyrightSpringer Nature Switzerland AG 2020
The information of publication is updating

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沙發(fā)
發(fā)表于 2025-3-21 21:07:08 | 只看該作者
978-3-030-65650-8Springer Nature Switzerland AG 2020
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發(fā)表于 2025-3-22 00:59:46 | 只看該作者
Myocardial Pathology Segmentation Combining Multi-Sequence Cardiac Magnetic Resonance Images978-3-030-65651-5Series ISSN 0302-9743 Series E-ISSN 1611-3349
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發(fā)表于 2025-3-22 06:57:08 | 只看該作者
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發(fā)表于 2025-3-22 09:20:18 | 只看該作者
https://doi.org/10.1007/978-3-030-65651-5artificial intelligence; automatic segmentations; cardiac image modeling; cardiac image registration; ca
6#
發(fā)表于 2025-3-22 15:09:18 | 只看該作者
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發(fā)表于 2025-3-22 19:29:15 | 只看該作者
0302-9743 unction with the 23rd International Conference on Medical Image Computing and Computer-Assisted Intervention, MICCAI 2020, in Lima, Peru, in October 2020. The challenge took place virtually due to the COVID-19 crisis..The 12 full and 4 short papers presented in this volume were carefully reviewed an
8#
發(fā)表于 2025-3-22 21:23:03 | 只看該作者
0302-9743 r the topic of general cardiac image segmentation, registration and modeling, and raise discussions for further technical development and clinical deployment..978-3-030-65650-8978-3-030-65651-5Series ISSN 0302-9743 Series E-ISSN 1611-3349
9#
發(fā)表于 2025-3-23 03:37:50 | 只看該作者
Conference proceedings 2020 form numerous submissions. This challenge aims not only to benchmark various myocardial pathology segmentation algorithms, but also to cover the topic of general cardiac image segmentation, registration and modeling, and raise discussions for further technical development and clinical deployment..
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發(fā)表于 2025-3-23 06:29:02 | 只看該作者
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