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Medical Computer Vision: Recognition Techniques and Applications in Medical Imaging: Lecture Notes in Computer Science, cartea 6533

Editat de Bjoern Menze, Georg Langs, Zhuowen Tu, Antonio Criminisi
en Limba Engleză Paperback – 25 ian 2011
This book constitutes the thoroughly refereed post-workshop proceedings of the International Workshop on Medical Computer Vision, MCV 2010, held in Beijing, China, in September 2010 as a satellite event of the 13th International Conference on Medical Image Computing and Computer Assisted Intervention, MICCAI 2010.The 10 revised full papers and 11 revised poster papers presented were carefully reviewed and selected from 38 initial submissions. The papers explore the use of modern image recognition technology in tasks such assemantic anatomy parsing, automatic segmentation and quantification, anomaly detection and categorization, data harvesting, semantic navigation and visualization, data organization and clustering, andgeneral-purpose automatic understanding of medical images.
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Specificații

ISBN-13: 9783642184208
ISBN-10: 3642184200
Pagini: 236
Ilustrații: XI, 226 p. 100 illus., 80 illus. in color.
Dimensiuni: 155 x 235 x 14 mm
Greutate: 0.29 kg
Ediția:2011
Editura: Springer Berlin, Heidelberg
Colecția Springer
Seriile Lecture Notes in Computer Science, Image Processing, Computer Vision, Pattern Recognition, and Graphics

Locul publicării:Berlin, Heidelberg, Germany

Public țintă

Professional/practitioner

Textul de pe ultima copertă

This book constitutes the thoroughly refereed post-workshop proceedings
of the International Workshop on Medical Computer Vision, MCV 2010, held
in Beijing, China, in September 2010 as a satellite event of the 13th
International Conference on Medical Image Computing and Computer
Assisted Intervention, MICCAI 2010.
The 10 revised full papers and 11 revised poster papers presented were
carefully reviewed and selected from 38 initial submissions. The papers
explore the use of modern image recognition technology in tasks such as
semantic anatomy parsing, automatic segmentation and quantification,
anomaly detection and categorization, data harvesting, semantic
navigation and visualization, data organization and clustering, and
general-purpose automatic understanding of medical images.

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