株式会社極東書店トップ ＞ 商品一覧 ＞ Machine Learning in Clinical Neuroimaging and Radiogenomics in Neuro-oncology: Third International Workshop, MLCN 2020, and Second International Workshop, RNO-AI 2020, Held in Conjunction with MICCAI 2020, Lima, Peru, October 4-8, 2020, Proceedings. 1st ed. 2020
商品詳細
Machine Learning in Clinical Neuroimaging and Radiogenomics in Neuro-oncology: Third International Workshop, MLCN 2020, and Second International Workshop, RNO-AI 2020, Held in Conjunction with MICCAI 2020, Lima, Peru, October 4-8, 2020, Proceedings. 1st ed. 2020
・ISBN 978-3-030-66842-6 paper EUR 49.99
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| 著者・編者 | Kia, Seyed Mostafa / Mohy-ud-Din, Hassan / Abdulkadir, Ahmed / Bass, Cher / Habes, Mohamad / Rondina, Jane Maryam / Tax, Chantal / Wang, Hongzhi / Wolfers, Thomas / Rathore, Saima (eds.), |
|---|---|
| シリーズ | (Lecture Notes in Computer Science) |
| 出版社 | (Springer Nature Switzerland AG, SZ) |
| 出版年月 | 2020 |
| ページ数 | 305 pp. |
| 言語 | ENG |
| ニュース番号 | ＜A01-77886＞ |
解説
For MLCN 2020, 18 papers out of 28 submissions were accepted for publication. The accepted papers present novel contributions in both developing new machine learning methods and applications of existing methods to solve challenging problems in clinical neuroimaging.
For RNO-AI 2020, all 8 submissions were accepted for publication. They focus on addressing the problems of applying machine learning to large and multi-site clinical neuroimaging datasets. The workshop aimed to bring together experts in both machine learning and clinical neuroimaging to discuss and hopefully bridge the existing challenges of applied machine learning in clinical neuroscience.
*The workshops were held virtually due to the COVID-19 pandemic.