Machine Learning in Clinical Neuroimaging and Radiogenomics in Neuro-oncology: Third International Workshop, MLCN 2020, and Second International ... Peru, October 4-8, 2020, Proceedings: 12449 - Brossura

Brossura

ISBN 10: 3030668428 ISBN 13: 9783030668426

Casa editrice: Springer, 2020

Riassunto

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.

Dettagli dell'edizione

• Editore: Springer
• Data di pubblicazione: 2020
• Lingua: Inglese
• ISBN 10: 3030668428
• ISBN 13: 9783030668426
• Rilegatura: Copertina flessibile
• Numero edizione: 1
• Numero di pagine: 324
• Redattore: Kia Seyed Mostafa, Mohy-ud-Din Hassan, Abdulkadir Ahmed, Bass Cher, Habes Mohamad, Rondina Jane Maryam, Tax Chantal, Wang Hongzhi, Wolfers Thomas
• Contatto del produttore: Springer Nature Customer Service Center GmbH; ProductSafety@springernature.com; ; Europaplatz 3; Heidelberg; 69115; Germania