| 書(shū)目名稱 | Multiscale Multimodal Medical Imaging |
| 副標(biāo)題 | Third International |
| 編輯 | Xiang Li,Jinglei Lv,Quanzheng Li |
| 視頻video | http://file.papertrans.cn/642/641170/641170.mp4 |
| 叢書(shū)名稱 | Lecture Notes in Computer Science |
| 圖書(shū)封面 |  |
| 描述 | This book constitutes the refereed proceedings of the Third International Workshop on Multiscale Multimodal Medical Imaging, MMMI 2022, held in conjunction with MICCAI 2022 in singapore, in September 2022..The 12 papers presented were carefully reviewed and selected from 18 submissions. The MMMI workshop aims to advance the state of the art in multi-scale multi-modal medical imaging, including algorithm development, implementation of methodology, and experimental studies. The papers focus on medical image analysis and machine learning, especially on machine learning methods for data fusion and multi-score learning.. |
| 出版日期 | Conference proceedings 2022 |
| 關(guān)鍵詞 | artificial intelligence; bioinformatics; computer vision; computerized tomography; CT image; deep learnin |
| 版次 | 1 |
| doi | https://doi.org/10.1007/978-3-031-18814-5 |
| isbn_softcover | 978-3-031-18813-8 |
| isbn_ebook | 978-3-031-18814-5Series ISSN 0302-9743 Series E-ISSN 1611-3349 |
| issn_series | 0302-9743 |
| copyright | The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerl |
|Archiver|手機(jī)版|小黑屋|
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