Computer Vision Approaches to Medical Image Analysis: Second International ECCV Workshop, CVAMIA 2006, Graz, Austria, May 12, 2006, Revised Papers (Lecture Notes in Computer Science)

ISBN 10: 3540462570 / ISBN 13: 9783540462576

Edité par Springer, 2006

A propos de cet article

Like New.

N° de réf. du vendeur ERICA70435404625706

Détails bibliographiques

• Titre: Computer Vision Approaches to Medical Image Analysis: Second International ECCV Workshop, CVAMIA 2006, Graz, Austria, May 12, 2006, Revised Papers (Lecture Notes in Computer Science)
• Éditeur: Springer
• Date de parution: 2006
• Langue: anglais
• ISBN à 10 chiffres: 3540462570
• ISBN à 13 chiffres: 9783540462576
• Reliure: Paperback
• État de l'article: Like New
• Type de livre: book

A propos de ce titre

Synopsis

Medical imaging and medical image analysis are developing rapidly. 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. This was the second time that a satellite workshop, solely devoted to medical image analysis issues, was held in conjunction with the European Conference on Computer Vision (ECCV), and we are optimistic that this will become a tradition at ECCV. We received 38 full-length paper submissions to the second Computer Vision Approaches to Medical Image Analysis (CVAMIA) Workshop, out of which 10 were accepted for oral and 11 for poster presentation after a rigorous peer-review process. In addition, the workshop included three invited talks. The ?rst was given by Maryellen Giger from the University of Chicago, USA -- titled "Multi-Modality Breast CADx".