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Machine learning in clinical neuroim...
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MLCN (Workshop) (2020 :)
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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 /
Record Type:
Electronic resources : Monograph/item
Title/Author:
Machine learning in clinical neuroimaging and radiogenomics in neuro-oncology/ edited by Seyed Mostafa Kia ... [et al.].
Reminder of title:
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 /
remainder title:
MLCN 2020
other author:
Kia, Seyed Mostafa.
corporate name:
MLCN (Workshop)
Published:
Cham :Springer International Publishing : : 2020.,
Description:
xviii, 305 p. :ill., digital ;24 cm.
Contained By:
Springer Nature eBook
Subject:
Diagnostic imaging - Congresses. - Digital techniques -
Online resource:
https://doi.org/10.1007/978-3-030-66843-3
ISBN:
9783030668433
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 /[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 ;12449..
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
Standard No.: 10.1007/978-3-030-66843-3doiSubjects--Topical Terms:
893046
Diagnostic imaging
--Digital techniques--Congresses.
LC Class. No.: Q325.5
Dewey Class. No.: 006.31
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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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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based on 0 review(s)
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Attachments
W9413166
電子資源
11.線上閱覽_V
電子書
EB Q325.5
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