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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 /

Record Type:	Language materials, printed : Monograph/item
Title/Author:	Medical Computer Vision: Algorithms for Big Data/ edited by Bjoern Menze, Georg Langs, Albert Montillo, Michael Kelm, Henning Müller, Shaoting Zhang, Weidong Cai, Dimitris Metaxas.
Reminder of title:	International Workshop, MCV 2015, Held in Conjunction with MICCAI 2015, Munich, Germany, October 9, 2015, Revised Selected Papers /
other author:	Menze, Bjoern.
Description:	XV, 182 p. 70 illus.online resource. :
Contained By:	Springer Nature eBook
Subject:	Optical data processing. -
Online resource:	https://doi.org/10.1007/978-3-319-42016-5
ISBN:	9783319420165

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 /
Medical Computer Vision: Algorithms for Big DataInternational 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 Müller, Shaoting Zhang, Weidong Cai, Dimitris Metaxas. - 1st ed. 2016. - XV, 182 p. 70 illus.online resource. - Image Processing, Computer Vision, Pattern Recognition, and Graphics ;9601. - Image Processing, Computer Vision, Pattern Recognition, and Graphics ;9219.

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.

ISBN: 9783319420165

Standard No.: 10.1007/978-3-319-42016-5doiSubjects--Topical Terms:

639187
Optical data processing.

LC Class. No.: TA1630-1650

Dewey Class. No.: 006.6

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 /
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