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

Sonka, Milan; Kakadiaris, Ioannis A.; Kybic, Jan

ISBN 10: 3540226753 / ISBN 13: 9783540226758

Edité par Springer, 2004

A propos de cet article

N° de réf. du vendeur 3195709-n

Détails bibliographiques

• Titre: 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
• Éditeur: Springer
• Date de parution: 2004
• Langue: anglais
• ISBN à 10 chiffres: 3540226753
• ISBN à 13 chiffres: 9783540226758
• Reliure: Couverture souple
• État de l'article: New

A propos de ce titre

Synopsis

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.