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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



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Titolo: 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 Visualizza cluster
Pubblicazione: Cham : , : Springer International Publishing : , : Imprint : Springer, , 2016
Edizione: 1st ed. 2016.
Descrizione fisica: 1 online resource (XV, 182 p. 70 illus.)
Disciplina: 610.285
Soggetto topico: Optical data processing
Pattern recognition
Health informatics
Image Processing and Computer Vision
Pattern Recognition
Health Informatics
Persona (resp. second.): MenzeBjoern
LangsGeorg
MontilloAlbert
KelmMichael
MüllerHenning
ZhangShaoting
CaiWeidong
MetaxasDimitris
Nota di contenuto: Pedicting disease -- Atlas exploitation and avoidance -- Machine learning based analyses -- Advanced methods for image analysis -- Poster sessions.
Sommario/riassunto: 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.
Titolo autorizzato: Medical Computer Vision: Algorithms for Big Data  Visualizza cluster
ISBN: 3-319-42016-X
Formato: Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione: Inglese
Record Nr.: 996465687903316
Lo trovi qui: Univ. di Salerno
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Serie: Image Processing, Computer Vision, Pattern Recognition, and Graphics ; ; 9601