Computer Vision and Mathematical Methods in Medical and Biomedical Image Analysis: ECCV 2004 Workshops CVAMIA and MMBIA Prague, Czech Republic, May . (Lecture Notes in Computer Science, 3117)

ISBN 10: 3540226753 / ISBN 13: 9783540226758

Published by Springer, 2004

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Seller Inventory # ABLIING23Mar3113020163383

Bibliographic Details

Title: Computer Vision and Mathematical Methods in ...

Publisher: Springer

Publication Date: 2004

Binding: Soft cover

Condition: New

About this title

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.

Synopsis:

This book constitutes the thoroughly refereed joint post proceedings of the international workshop Computer Vision Approaches to Medical Image Analysis, CVAMIA 2004, and Mathematical Methods in Biomedical Image Analysis, MMBIA 2004, both held in Prague, Czech Republic, in May 2004 as part of EECV 2004. The 37 revised full papers presented were carefully selected and improved during two rounds of reviewing and revision. The papers are organized in topical sections on image acquision techniques, image reconstruction, mathematical methods, medical image segmentation, image registration, and applications.