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-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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Bibliographic Details
Meeting name:	MLCN (Workshop) (3rd : 2020 : Online)
Imprint:	Cham, Switzerland : Springer, [2020]
Description:	1 online resource (xviii, 305 pages) : illustrations.
Language:	English
Series:	Lecture notes in computer science ; 12449 LNCS sublibrary: SL6 - Image processing, computer vision, pattern recognition, and graphics Lecture notes in computer science ; 12449. LNCS sublibrary. SL 6, Image processing, computer vision, pattern recognition, and graphics.
Subject:	Diagnostic imaging -- Digital techniques -- Congresses. Machine learning -- Congresses. Electronic data processing -- Distributed processing -- Congresses. Optical data processing. Diagnostic imaging -- Digital techniques. Electronic data processing -- Distributed processing. Machine learning. Optical data processing. Electronic books. Conference papers and proceedings.
Format:	E-Resource Book
URL for this record:	http://pi.lib.uchicago.edu/1001/cat/bib/12610730

Hidden Bibliographic Details
Varying Form of Title:	MLCN 2020 RNO-AI 2020
Other authors / contributors:	Kia, Seyed Mostafa, editor. Mohy-ud-Din, Hassan, editor. RNO-AI (Workshop) (2nd : 2020 : Online), jointly held conference. International Conference on Medical Image Computing and Computer-Assisted Intervention (23rd : 2020 : Online), jointly held conference.
ISBN:	9783030668433 3030668436 3030668428 9783030668426
Digital file characteristics:	text file PDF
Notes:	Includes bibliographical references and index. Online resource; title from PDF title page (SpringerLink, viewed February 26, 2021).
Summary:	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.
Other form:	Print version: 9783030668426
Standard no.:	10.1007/978-3-030-66843-3