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Medical Computer Vision: Algorithms for Big Data

International Workshop, MCV 2015, Held in Conjunction with MICCAI 2015, Munich, Germany, October 9, 2015, Revised Selected Papers

Language EnglishEnglish
Book Paperback
Book Medical Computer Vision: Algorithms for Big Data Bjoern Menze
Libristo code: 12580484
Publishers Springer International Publishing AG, July 2016
This book constitutes the thoroughly refereed prost-workshop proceedings of the International Worksh... Full description
? points 125 b
51.66 €
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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.?

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About the book

Full name Medical Computer Vision: Algorithms for Big Data
Author Bjoern Menze, Georg Langs, Albert Montillo, Michael Kelm, Henning Müller, Shaoting Zhang, Weidong Cai, Dimitrios Metaxas
Language English
Binding Book - Paperback
Date of issue 2016
Number of pages 182
EAN 9783319420158
ISBN 3319420151
Libristo code 12580484
Publishers Springer International Publishing AG
Weight 454
Dimensions 155 x 235 x 9

Categories

Computing & Information Technology > Computer science > Artificial intelligence > Pattern recognition
Computing & Information Technology > Computer science > Artificial intelligence > Computer vision
Computing & Information Technology > Information technology: general issues > Health & safety aspects of IT
Computing & Information Technology > Computer science > Image processing
Computing & Information Technology > Graphical & digital media applications
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