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Machine learning in clinical neuroim...

(1998 :)

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 /

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	Machine learning in clinical neuroimaging and radiogenomics in neuro-oncologyedited by Seyed Mostafa Kia ... [et al.].
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 /
其他題名:	MLCN 2020
其他作者:	Kia, Seyed Mostafa.
團體作者:
出版者:	Cham :Springer International Publishing :2020.
面頁冊數:	xviii, 305 p. :ill., digital ;24 cm.
Contained By:	Springer Nature eBook
標題:	Diagnostic imagingCongresses.Digital techniques
電子資源:	https://doi.org/10.1007/978-3-030-66843-3
ISBN:	9783030668433$q(electronic bk.)

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 /
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] :MLCN 2020edited by Seyed Mostafa Kia ... [et al.]. - Cham :Springer International Publishing :2020. - xviii, 305 p. :ill., digital ;24 cm. - Lecture notes in computer science,124490302-9743 ;. - Lecture notes in computer science ;4891..

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$q(electronic bk.)

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

445235
Diagnostic imaging
--Digital techniques--Congresses.

LC Class. No.: Q325.5

Dewey Class. No.: 006.31

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 /
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