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 (Lecture Notes in Computer Science #10553)

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

Sign Up Now! Already a Member? Log In
You must be logged into UK education collection to access this title. Learn about membership options, or view our freely available titles.

Synopsis: 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.

Book Quality:: Publisher Quality
ISBN-13:: 9783319675589
Related ISBNs:: 9783319675572
Publisher:: Springer International Publishing
Date of Addition:: 10/13/18
Copyrighted By:: Springer International Publishing, Cham
Adult content:: No
Language:: English
Has Image Descriptions:: No
Categories:: Nonfiction, Art and Architecture, Computers and Internet, Medicine
Submitted By:: Bookshare Staff
Usage Restrictions:: This is a copyrighted book.