Computer Vision and Mathematical Methods in Medical and Biomedical Image Analysis - ECCV 2004 Workshops CVAMIA and MMBIA Prague, Czech Republic, May 15, 2004, Revised Selected Papers (Paperback, Revised edition)

Medical imaging and medical image analysisare rapidly developing. While m- ical imaging has already become a standard of modern medical care, medical image analysis is still mostly performed visually and qualitatively. The ev- increasing volume of acquired data makes it impossible to utilize them in full. Equally important, the visual approaches to medical image analysis are known to su?er from a lack of reproducibility. A signi?cant researche?ort is devoted to developing algorithms for processing the wealth of data available and extracting the relevant information in a computerized and quantitative fashion. Medical imaging and image analysis are interdisciplinary areas combining electrical, computer, and biomedical engineering; computer science; mathem- ics; physics; statistics; biology; medicine; and other ?elds. Medical imaging and computer vision, interestingly enough, have developed and continue developing somewhat independently. Nevertheless, bringing them together promises to b- e't both of these ?elds. We were enthusiastic when the organizers of the 2004 European Conference on Computer Vision (ECCV) allowed us to organize a satellite workshop devoted to medical image analysis.

General

Imprint:	Springer-Verlag
Country of origin:	Germany
Series:	Lecture Notes in Computer Science, 3117
Release date:	September 2004
First published:	2004
Editors:	Milan Sonka • Ioannis A. Kakadiaris • Jan Kybic
Dimensions:	235 x 155 x 23mm (L x W x T)
Format:	Paperback
Pages:	444
Edition:	Revised edition
ISBN-13:	978-3-540-22675-8
Categories:	Books > Business & Economics > Industry & industrial studies > Media, information & communication industries > Information technology industries Books > Computing & IT > Applications of computing > Artificial intelligence > Computer vision
LSN:	3-540-22675-3
Barcode:	9783540226758

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