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Computer Vision and Mathematical Methods in Medical and...

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

James F. Greenleaf, Mostafa Fatemi, Marek Belohlavek (auth.), Milan Sonka, Ioannis A. Kakadiaris, Jan Kybic (eds.)
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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.

年:
2004
出版:
1
出版社:
Springer-Verlag Berlin Heidelberg
语言:
english
页:
444
ISBN 10:
3540278168
ISBN 13:
9783540278160
系列:
Lecture Notes in Computer Science 3117
文件:
PDF, 13.10 MB
IPFS:
CID , CID Blake2b
english, 2004
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