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 (u. a.)

ISBN 10: 3319675575 / ISBN 13: 9783319675572

Published by Springer, 2017

About this Item

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 (u. a.) | Taschenbuch | Lecture Notes in Computer Science | xix | Englisch | 2017 | Springer | EAN 9783319675572 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu.

Seller Inventory # 110061860

Bibliographic Details

• Title: 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
• Publisher: Springer
• Publication Date: 2017
• Language: English
• ISBN 10: 3319675575
• ISBN 13: 9783319675572
• Binding: Taschenbuch
• Condition: Neu
• Dimensions: 235W x 155H x 23D millimeters 235 millimeters width by 155 millimeters height by 23 millimeters depth
• Weight: 616 grams
• Seller catalogs:
  • Bücher

About this title

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.