Please note: In order to keep Hive up to date and provide users with the best features, we are no longer able to fully support Internet Explorer. The site is still available to you, however some sections of the site may appear broken. We would encourage you to move to a more modern browser like Firefox, Edge or Chrome in order to experience the site fully.

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 Conjuncti, Paperback / softback Book

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 Conjuncti Paperback / softback

Edited by M. Jorge Cardoso, Tal Arbel, Gustavo Carneiro, Tanveer Syeda-Mahmood, Joao Manuel R. S. Tavares, Mehdi Moradi, Andrew Bradley, Hayit Greenspan, Joao Paulo Papa, Anant Madabhushi

Part of the Lecture Notes in Computer Science series

Paperback / softback

Description

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.

Information

Save 10%

£54.99

£49.15

 
Free Home Delivery

on all orders

 
Pick up orders

from local bookshops

Information