| 書目名稱 | Machine Learning in Clinical Neuroimaging |
| 副標(biāo)題 | 5th International Wo |
| 編輯 | Ahmed Abdulkadir,Deepti R. Bathula,Thomas Wolfers |
| 視頻video | http://file.papertrans.cn/621/620660/620660.mp4 |
| 叢書名稱 | Lecture Notes in Computer Science |
| 圖書封面 |  |
| 描述 | This book constitutes the refereed proceedings of the 5th International Workshop on Machine Learning in Clinical Neuroimaging, MLCN 2022, held in Conjunction with MICCAI 2022, Singapore in September 2022.?.The book includes 17 papers which were carefully reviewed and selected from 23 full-length submissions..The 5th international workshop on Machine Learning in Clinical Neuroimaging (MLCN2022) aims to bring together the top researchers in both machine learning and clinical neuroscience as well as tech-savvy clinicians to address two main challenges: 1) development of methodological approaches for analyzing complex and heterogeneous neuroimaging data (machine learning track); and 2) filling the translational gap in applying existing machine learning methods in clinical practices (clinical neuroimaging track)..The papers are categorzied into topical sub-headings:?Morphometry;?Diagnostics, and Aging, and Neurodegeneration.?. |
| 出版日期 | Conference proceedings 2022 |
| 關(guān)鍵詞 | artificial intelligence; bioinformatics; computer networks; computer science; computer systems; computer |
| 版次 | 1 |
| doi | https://doi.org/10.1007/978-3-031-17899-3 |
| isbn_softcover | 978-3-031-17898-6 |
| isbn_ebook | 978-3-031-17899-3Series 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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