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 / edited by M. Jorge Cardoso, Tal Arbel, Gustavo Carneiro, Tanveer Syeda-Mahmood, João Manuel R.S. Tavares, Mehdi Moradi, Andrew Bradley, Hayit Greenspan, João Paulo Papa, Anant Madabhushi, Jacinto C. Nascimento, Jaime S. Cardoso, Vasileios Belagiannis, Zhi Lu.

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 Confe...

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Corporate Author: SpringerLink (Online service)
Other Authors: Cardoso, M. Jorge (Editor), Arbel, Tal (Editor), Carneiro, Gustavo (Editor), Syeda-Mahmood, Tanveer (Editor), Tavares, João Manuel R.S (Editor), Moradi, Mehdi (Editor), Bradley, Andrew (Editor), Greenspan, Hayit (Editor), Papa, João Paulo (Editor), Madabhushi, Anant (Editor), Nascimento, Jacinto C. (Editor), Cardoso, Jaime S. (Editor), Belagiannis, Vasileios (Editor), Lu, Zhi (Editor)
Format: eBook
Language:English
Published: Cham : Springer International Publishing : Imprint: Springer, 2017.
Edition:1st ed. 2017.
Series:Image Processing, Computer Vision, Pattern Recognition, and Graphics ; 10553
Springer eBook Collection.
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Online Access:Click to view e-book
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Summary: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.
Physical Description:XIX, 385 p. 169 illus. online resource.
ISBN:9783319675589
DOI:10.1007/978-3-319-67558-9