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 / [electronic resource] :
edited by Bjoern Menze, Georg Langs, Albert Montillo, Michael Kelm, Henning M�uller, Shaoting Zhang, Weidong Cai, Dimitris Metaxas.
- XV, 182 p. 70 illus. online resource.
- Lecture Notes in Computer Science, 9601 0302-9743 ; .
- Lecture Notes in Computer Science, 9601 .
Pedicting disease -- Atlas exploitation and avoidance -- Machine learning based analyses -- Advanced methods for image analysis -- Poster sessions.
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.
9783319420165
10.1007/978-3-319-42016-5 doi
Computer science.
Health informatics.
Image processing.
Pattern recognition.
Computer Science.
Image Processing and Computer Vision.
Pattern Recognition.
Health Informatics.
TA1637-1638 TA1634
006.6 006.37
Pedicting disease -- Atlas exploitation and avoidance -- Machine learning based analyses -- Advanced methods for image analysis -- Poster sessions.
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.
9783319420165
10.1007/978-3-319-42016-5 doi
Computer science.
Health informatics.
Image processing.
Pattern recognition.
Computer Science.
Image Processing and Computer Vision.
Pattern Recognition.
Health Informatics.
TA1637-1638 TA1634
006.6 006.37