Deep Learning in Medical Image Analysis and Multimodal Learning for Clinical Decision Support Deep Learning in Medical Image Analysis and Multimodal Learning for Clinical Decision Support

Deep Learning in Medical Image Analysis and Multimodal Learning for Clinical Decision Support

Third International Workshop, DLMIA 2017, and 7th International Workshop, ML-CDS 2017, Held in Conjunction with MICCAI 2017, Québec City, QC, Canada, September 14, Proceedings

M. Jorge Cardoso et autres
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Description de l’éditeur

This book constitutes the refereed joint proceedings of the Third International Workshop on Deep Learning in Medical Image Analysis, DLMIA 2017, and the 6th International Workshop on Multimodal Learning for Clinical Decision Support, ML-CDS 2017, held in conjunction with the 20th International Conference on Medical Imaging and Computer-Assisted Intervention, MICCAI 2017, in Québec City, QC, Canada, in September 2017.

The 38 full papers presented at DLMIA 2017 and the 5 full papers presented at ML-CDS 2017 were carefully reviewed and selected. The DLMIA papers focus on the design and use of deep learning methods in medical imaging. The ML-CDS papers discuss new techniques of multimodal mining/retrieval and their use in clinical decision support.

GENRE
Informatique et Internet
SORTIE
2017
7 septembre
LANGUE
EN
Anglais
LONGUEUR
404
Pages
ÉDITIONS
Springer International Publishing
DÉTAILS DU FOURNISSEUR
Springer Science & Business Media LLC
TAILLE
11
Mo
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Biomedical Image Registration Biomedical Image Registration
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Image and Graphics Image and Graphics
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Cancer Prevention Through Early Detection Cancer Prevention Through Early Detection
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Domain Adaptation and Representation Transfer Domain Adaptation and Representation Transfer
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Distributed, Collaborative, and Federated Learning, and Affordable AI and Healthcare for Resource Diverse Global Health Distributed, Collaborative, and Federated Learning, and Affordable AI and Healthcare for Resource Diverse Global Health
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Clinical Image-Based Procedures, Distributed and Collaborative Learning, Artificial Intelligence for Combating COVID-19 and Secure and Privacy-Preserving Machine Learning Clinical Image-Based Procedures, Distributed and Collaborative Learning, Artificial Intelligence for Combating COVID-19 and Secure and Privacy-Preserving Machine Learning
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Domain Adaptation and Representation Transfer, and Affordable Healthcare and AI for Resource Diverse Global Health Domain Adaptation and Representation Transfer, and Affordable Healthcare and AI for Resource Diverse Global Health
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Domain Adaptation and Representation Transfer, and Distributed and Collaborative Learning Domain Adaptation and Representation Transfer, and Distributed and Collaborative Learning
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Domain Adaptation and Representation Transfer and Medical Image Learning with Less Labels and Imperfect Data Domain Adaptation and Representation Transfer and Medical Image Learning with Less Labels and Imperfect Data
2019