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COMPUTER VISION AND MATHEMATICAL METHODS IN MEDICAL AND BIOMEDICAL IMAGE ANALYSIS : ECCV 2004 WORKSHOPS CVAMIA AND MMBIA PRAGUE,

Computer Vision and Mathematical Methods in Medical and Biomedical Image Analysis : ECCV 2004 Workshops CVAMIA and MMBIA Prague,
Milan Sonka (ed.); Ioannis A. Kakadiaris (ed.); Jan Kybic (ed.)
Springer (2004)
Saatavuus: Tilaustuote
Pehmeäkantinen kirja
49,60
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Computer Vision and Mathematical Methods in Medical and Biomedical Image Analysis : ECCV 2004 Workshops CVAMIA and MMBIA Prague,
49,60 €
Springer
Sivumäärä: 444 sivua
Asu: Pehmeäkantinen kirja
Painos: 2004
Julkaisuvuosi: 2004, 20.09.2004 (lisätietoa)
Kieli: Englanti
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.

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