Machine Learning In Clinical Neuroimaging And Radiogenomics In Neuro-Oncology - Kia Seyed Mostafa (Curatore); Rathore Saima (Curatore); Ingalhalikar Madhura (Curatore); Mohy-Ud-Din Hassan (Curatore); Abdulkadir Ahmed (Curatore); Bass Cher (Curatore); Habes Mohamad (Curatore); Rondina Jane Maryam (Curatore); Tax Chantal (Curatore) | Libro Springer 12/2020 - HOEPLI.it


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kia seyed mostafa (curatore); rathore saima (curatore); ingalhalikar madhura (curatore); mohy-ud-din hassan (curatore); abdulkadir ahmed (curatore); bass cher (curatore); habes mohamad (curatore); rondina jane maryam (curatore); tax chantal (curatore) - machine learning in clinical neuroimaging and radiogenomics in neuro-oncology

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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Dettagli

Genere:Libro
Lingua: Inglese
Editore:

Springer

Pubblicazione: 12/2020
Edizione: 1st ed. 2020





Trama

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.








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Altre Informazioni

ISBN:

9783030668426

Condizione: Nuovo
Collana: Lecture Notes in Computer Science
Dimensioni: 235 x 155 mm Ø 498 gr
Formato: Brossura
Illustration Notes:8 Illustrations, black and white
Pagine Arabe: 305
Pagine Romane: xviii






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