Machine Learning in Clinical Neuroimaging and Radiogenomics in Neuro-oncology

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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, Lecture Notes in Computer Science 12449 – Image Processing, Computer Vision, Pattern Recognition, and Graphics

ISBN: 3030668428
ISBN 13: 9783030668426
Herausgeber: Seyed Mostafa Kia/Hassan Mohy-ud-Din/Ahmed Abdulkadir et al
Verlag: Springer Verlag GmbH
Umfang: xviii, 305 S., 8 s/w Illustr., 305 p. 8 illus.
Erscheinungsdatum: 31.12.2020
Auflage: 1/2020
Produktform: Kartoniert
Einband: Kartoniert
Artikelnummer: 298438 Kategorie:

Beschreibung

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 RNOAI 2020, all 8 submissions were accepted for publication. They focus on addressing the problems of applying machine learning to large and multisite 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.

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