• Open Daily: 10am - 10pm
    Alley-side Pickup: 10am - 7pm

    3038 Hennepin Ave Minneapolis, MN
    612-822-4611

Open Daily: 10am - 10pm | Alley-side Pickup: 10am - 7pm
3038 Hennepin Ave Minneapolis, MN
612-822-4611
Computer Vision and Mathematical Methods in Medical and Biomedical Image Analysis: Eccv 2004 Workshops Cvamia and Mmbia Prague, Czech Republic, May 15

Computer Vision and Mathematical Methods in Medical and Biomedical Image Analysis: Eccv 2004 Workshops Cvamia and Mmbia Prague, Czech Republic, May 15

Paperback

Series: Lecture Notes in Computer Science, Book 3117

Medical ReferenceBiologyGeneral Computers

Currently unavailable to order

ISBN10: 3540226753
ISBN13: 9783540226758
Publisher: Springer Nature
Published: Sep 20 2004
Pages: 444
Weight: 2.29
Height: 0.91 Width: 8.50 Depth: 11.00
Language: English
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.

Also in

Biology