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Medical Computer Vision. Large Data in Medical Imaging: Third International MICCAI Workshop, MCV 2013, Nagoya, Japan, September 26, 2013, Revised ... Pattern Recognition, and Graphics, Band 8331) - Softcover

 
9783319055299: Medical Computer Vision. Large Data in Medical Imaging: Third International MICCAI Workshop, MCV 2013, Nagoya, Japan, September 26, 2013, Revised ... Pattern Recognition, and Graphics, Band 8331)

Inhaltsangabe

This book constitutes the thoroughly refereed post-workshop proceedings of the Third International Workshop on Medical Computer Vision, MCV 2013, held in Nagoya, Japan, in September 2013 in conjunction with the 16th International Conference on Medical Image Computing and Computer-Assisted Intervention, MICCAI 2013. The 7 revised full papers and 12 poster papers presented were selected from 25 submissions. They have been organized in topical sections on registration and visualization, segmentation, detection and localization, and features and retrieval. In addition, the volume contains two invited papers describing segmentation task and data set of the VISCERAL benchmark challenge.

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Über die Autorin bzw. den Autor

Michael Kelm, Dipl.-Kfm. (FH), Geboren 1970, ausgebildeter Bankkaufmann, BWL-Fernstudium an der Hochschule Merseburg (FH), Abschluss 2007 als Diplom-Kaufmann (FH), seit 1999 tätig als Revisor in den Bereichen Aufsichtsrecht, Risikocontrollling, Rechnungslegung und Prüfung von Tochter- und Outsourcinggesellschaften einer Sparkasse.

Von der hinteren Coverseite

This book constitutes the thoroughly refereed post-workshop proceedings of the Third International Workshop on Medical Computer Vision, MCV 2013, held in Nagoya, Japan, in September 2013 in conjunction with the 16th International Conference on Medical Image Computing and Computer-Assisted Intervention, MICCAI 2013. The 7 revised full papers and 12 poster papers presented were selected from 25 submissions. They have been organized in topical sections on registration and visualization, segmentation, detection and localization, and features and retrieval. In addition, the volume contains two invited papers describing segmentation task and data set of the VISCERAL benchmark challenge.

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