Machine Learning in Clinical Neuroimaging and Radiogenomics in Neuro-oncology (Lecture Notes in Computer Science) ダウンロード

Isbn 10: 3030668428

Isbn 13: 978-3030668426

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本の説明

This book constitutes the refereed proceedings of the Third International Workshop on Machine Learning in Clinical Neuroimaging, MLCN 2020, and the Second International Workshop on Radiogenomics in Neuro-oncology, RNO-AI 2020, held in conjunction with MICCAI 2020, in Lima, Peru, in October 2020.*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.

著者 :Seyed Mostafa Kia Hassan Mohy-ud-Din Ahmed Abdulkadir Cher Bass Mohamad Habes Jane Maryam Rondina Chantal Tax Hongzhi Wang Thomas Wolfers
Isbn 10 :3030668428
Isbn 13 :978-3030668426
によって公開 :2020/12/31
ページ数 :324ページ
出版社 :Springer; 1st ed. 2020版
言語 Machine Learning in Clinical Neuroimaging and Radiogenomics in Neuro-oncology (Lecture Notes in Computer Science):英語
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