IEEE Workshop on Mathematical Methods in Biomedical Image Analysis

IEEE Workshop on Mathematical Methods in Biomedical Image Analysis

Author: Lawrence Staib

Publisher: IEEE Computer Society Press

Published: 2001

Total Pages: 254

ISBN-13:

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Specialists in biomedical image analysis participated in a workshop held in December 2001 in Kauai, Hawaii. The papers were grouped into the themes of mammography, registration, acquisition-based image analysis, detection, probabilistic methods, shape, and segmentation. Individual topics include: 3D


Proceedings : IEEE Workshop on Mathematical Methods in Biomedical Image Analysis

Proceedings : IEEE Workshop on Mathematical Methods in Biomedical Image Analysis

Author:

Publisher: IEEE Computer Society Press

Published: 2000

Total Pages: 258

ISBN-13:

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Twenty-nine contributions are organized into segments addressing segmentation; deformable models; registration; flow and motion; and shape. Topics addressed include watersheds on the cortical surface for automated sulcal segmentation; needle placement under X-ray fluoroscopy using perspective invari"


Computer Vision and Mathematical Methods in Medical and Biomedical Image Analysis

Computer Vision and Mathematical Methods in Medical and Biomedical Image Analysis

Author: Milan Sonka

Publisher: Springer

Published: 2004-10-04

Total Pages: 448

ISBN-13: 3540278168

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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.