Medical Computer Vision: Algorithms for Big Data

Bjoern Menze

ISBN 10: 3319420151 / ISBN 13: 9783319420158

Published by Springer International Publishing, Springer International Publishing Jul 2016, 2016

About this Item

Neuware -This book constitutes the thoroughly refereed prost-workshop proceedings of the International Workshop on Medical Computer Vision: Algorithms for Big Data, MCS 2015, held in Munich, Germany, in October 2015, held in conjunction with the 18th International Conference on Medical Image Computing and Computer-Assisted Intervention, MICCAI 2015.The workshop shows well the current trends and tendencies in medical computer vision and how the techniques can be used in clinical work and on large data sets. It is organized in the following sections: predicting disease; atlas exploitation and avoidance; machine learning based analyses; advanced methods for image analysis; poster sessions. The 10 full, 5 short, 1 invited papers and one overview paper presented in this volume were carefully reviewed and selected from 22 submissions.Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg 200 pp. Englisch.

Seller Inventory # 9783319420158

Bibliographic Details

• Title: Medical Computer Vision: Algorithms for Big Data
• Publisher: Springer International Publishing, Springer International Publishing Jul 2016
• Publication Date: 2016
• Language: English
• ISBN 10: 3319420151
• ISBN 13: 9783319420158
• Binding: Taschenbuch
• Condition: Neu

About this title

Synopsis

This book constitutes the thoroughly refereed prost-workshop proceedings of the International Workshop on Medical Computer Vision: Algorithms for Big Data, MCS 2015, held in Munich, Germany, in October 2015, held in conjunction with the 18th International Conference on Medical Image Computing and Computer-Assisted Intervention, MICCAI 2015.

The workshop shows well the current trends and tendencies in medical computer vision and how the techniques can be used in clinical work and on large data sets. It is organized in the following sections: predicting disease; atlas exploitation and avoidance; machine learning based analyses; advanced methods for image analysis; poster sessions. The 10 full, 5 short, 1 invited papers and one overview paper presented in this volume were carefully reviewed and selected from 22 submissions.