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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 /

紀錄類型:	書目-語言資料,印刷品 : Monograph/item
正題名/作者:	Machine Learning in Clinical Neuroimaging and Radiogenomics in Neuro-oncology/ edited by Seyed Mostafa Kia, Hassan Mohy-ud-Din, Ahmed Abdulkadir, Cher Bass, Mohamad Habes, Jane Maryam Rondina, Chantal Tax, Hongzhi Wang, Thomas Wolfers, Saima Rathore, Madhura Ingalhalikar.
其他題名:	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 /
其他作者:	Ingalhalikar, Madhura.
面頁冊數:	XVIII, 305 p. 8 illus.online resource. :
Contained By:	Springer Nature eBook
標題:	Image Processing and Computer Vision. -
電子資源:	https://doi.org/10.1007/978-3-030-66843-3
ISBN:	9783030668433

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 /
Machine Learning in Clinical Neuroimaging and Radiogenomics in Neuro-oncologyThird International Workshop, MLCN 2020, and Second International Workshop, RNO-AI 2020, Held in Conjunction with MICCAI 2020, Lima, Peru, October 4–8, 2020, Proceedings /[electronic resource] :edited by Seyed Mostafa Kia, Hassan Mohy-ud-Din, Ahmed Abdulkadir, Cher Bass, Mohamad Habes, Jane Maryam Rondina, Chantal Tax, Hongzhi Wang, Thomas Wolfers, Saima Rathore, Madhura Ingalhalikar. - 1st ed. 2020. - XVIII, 305 p. 8 illus.online resource. - Image Processing, Computer Vision, Pattern Recognition, and Graphics ;12449. - Image Processing, Computer Vision, Pattern Recognition, and Graphics ;9219.

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.

ISBN: 9783030668433

Standard No.: 10.1007/978-3-030-66843-3doiSubjects--Topical Terms:

670819
Image Processing and Computer Vision.

LC Class. No.: TA1630-1650

Dewey Class. No.: 006.6

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 /
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