Cardoso 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

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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

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Beschreibung

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.


Includes supplementary material: sn.pub/extras

Autor*in

M. Jorge Cardoso

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

artificial intelligence classification classification accuracy computer architecture computer vision computerized tomography graph theory image analysis image processing image reconstruction image registration image segmentation learning algorithms learning systems mammography

Stimmen zu »Deep Learning in Medical Image Analysis and Multimodal Learning for Clinical Decision Support«

Details

ISBN: 9783319675589
Verlag: Springer International Publishing
Erscheinung: 07.09.2017

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