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 1st Edition James F Greenleaf by James F. Greenleaf, Mostafa Fatemi, Marek Belohlavek (auth.), Milan Sonka, Ioannis A. Kakadiaris, Jan Kybic (eds.) 9783540226758, 9783540278160, 3540226753, 3540278168 instant download after payment.

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.