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Medical Computer Vision: Algorithms for Big Data [electronic resource] : International Workshop, MCV 2015, Held in Conjunction with MICCAI 2015, Munich, Germany, October 9, 2015, Revised Selected Papers / edited by Bjoern Menze, Georg Langs, Albert Montillo, Michael Kelm, Henning Müller, Shaoting Zhang, Weidong Cai, Dimitris Metaxas.

Contributor(s): Menze, Bjoern [editor.] | Langs, Georg [editor.] | Montillo, Albert [editor.] | Kelm, Michael [editor.] | Müller, Henning [editor.] | Zhang, Shaoting [editor.] | Cai, Weidong [editor.] | Metaxas, Dimitris [editor.] | SpringerLink (Online service).
Material type: materialTypeLabelBookSeries: Image Processing, Computer Vision, Pattern Recognition, and Graphics: 9601Publisher: Cham : Springer International Publishing : Imprint: Springer, 2016Edition: 1st ed. 2016.Description: XV, 182 p. 70 illus. online resource.Content type: text Media type: computer Carrier type: online resourceISBN: 9783319420165.Subject(s): Computer vision | Pattern recognition systems | Medical informatics | Computer Vision | Automated Pattern Recognition | Health InformaticsAdditional physical formats: Printed edition:: No title; Printed edition:: No titleDDC classification: 006.37 Online resources: Click here to access online
Contents:
Pedicting disease -- Atlas exploitation and avoidance -- Machine learning based analyses -- Advanced methods for image analysis -- Poster sessions.
In: Springer Nature eBookSummary: 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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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.

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