| 書(shū)目名稱(chēng) | 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video | http://file.papertrans.cn/642/641955/641955.mp4 |
| 叢書(shū)名稱(chēng) | Lecture Notes in Computer Science |
| 圖書(shū)封面 |  |
| 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 |
| doi | https://doi.org/10.1007/978-3-030-65651-5 |
| isbn_softcover | 978-3-030-65650-8 |
| isbn_ebook | 978-3-030-65651-5Series ISSN 0302-9743 Series E-ISSN 1611-3349 |
| issn_series | 0302-9743 |
| copyright | Springer Nature Switzerland AG 2020 |
|Archiver|手機(jī)版|小黑屋|
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