IEEE Workshop on Mathematical Methods in Biomedical Image Analysis (MMBIA'01)
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Publisher :
Page : pages
File Size : 46,1 MB
Release : 2001
Category : Diagnostic imaging
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Author :
Publisher :
Page : pages
File Size : 46,1 MB
Release : 2001
Category : Diagnostic imaging
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Author : Lawrence Staib
Publisher : IEEE Computer Society Press
Page : 254 pages
File Size : 14,62 MB
Release : 2001
Category : Medical
ISBN :
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
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Publisher : IEEE Computer Society Press
Page : 258 pages
File Size : 33,84 MB
Release : 2000
Category : Medical
ISBN :
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"
Author : Workshop on Mathematical Methods in Biomedical Image Analysis
Publisher :
Page : 0 pages
File Size : 22,76 MB
Release : 2001
Category : Diagnostic imaging
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Author :
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Page : 260 pages
File Size : 30,98 MB
Release : 2001
Category : Diagnostic imaging
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Author :
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Page : 360 pages
File Size : 13,82 MB
Release : 1996
Category : Biomedical engineering
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Author : IEEE Staff
Publisher :
Page : pages
File Size : 27,96 MB
Release : 2012-01-09
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ISBN : 9781467303521
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Page : 0 pages
File Size : 15,98 MB
Release : 2000
Category :
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Author : Milan Sonka
Publisher : Springer Science & Business Media
Page : 448 pages
File Size : 33,71 MB
Release : 2004-09-20
Category : Computers
ISBN : 3540226753
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.
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Page : pages
File Size : 18,52 MB
Release : 2000
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