Deep Learning in Medical Image Analysis and Multimodal Learning for Clinical Decision Support | 4th International Workshop, DLMIA 2018, and 8th International Workshop, ML-CDS 2018, Held in Conjunction with MICCAI 2018, Granada, Spain, September 20, 2018, Proceedings

Danail Stoyanov (u. a.)

ISBN 10: 3030008886 / ISBN 13: 9783030008888

Published by Springer, 2018

About this Item

Deep Learning in Medical Image Analysis and Multimodal Learning for Clinical Decision Support | 4th International Workshop, DLMIA 2018, and 8th International Workshop, ML-CDS 2018, Held in Conjunction with MICCAI 2018, Granada, Spain, September 20, 2018, Proceedings | Danail Stoyanov (u. a.) | Taschenbuch | Lecture Notes in Computer Science | xvii | Englisch | 2018 | Springer | EAN 9783030008888 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu.

Seller Inventory # 114211287

Bibliographic Details

• Title: Deep Learning in Medical Image Analysis and Multimodal Learning for Clinical Decision Support | 4th International Workshop, DLMIA 2018, and 8th International Workshop, ML-CDS 2018, Held in Conjunction with MICCAI 2018, Granada, Spain, September 20, 2018, Proceedings
• Publisher: Springer
• Publication Date: 2018
• Language: English
• ISBN 10: 3030008886
• ISBN 13: 9783030008888
• 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 4th International Workshop on Deep Learning in Medical Image Analysis, DLMIA 2018, and the 8th International Workshop on Multimodal Learning for Clinical Decision Support, ML-CDS 2018, held in conjunction with the 21st International Conference on Medical Imaging and Computer-Assisted Intervention, MICCAI 2018, in Granada, Spain, in September 2018.

The 39 full papers presented at DLMIA 2018 and the 4 full papers presented at ML-CDS 2018 were carefully reviewed and selected from 85 submissions to DLMIA and 6 submissions to ML-CDS. 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.