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Computer Vision Approaches to Medical Image Analysis: Second International ECCV Workshop, CVAMIA 2006, Graz, Austria, May 12, 2006, Revised Papers: 4241 (Lecture Notes in Computer Science, 4241) - Softcover
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”.
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Synopsis
This book constitutes the thoroughly refereed post proceedings of the international workshop Computer Vision Approaches to Medical Image Analysis, CVAMIA 2006, held in Graz, Austria in May 2006 as a satellite event of the 9th European Conference on Computer Vision, EECV 2006. The 10 revised full papers and 11 revised poster papers presented together with 1 invited talk were carefully reviewed and selected from 38 submissions. The papers are organized in topical sections on clinical applications, image registration, image segmentation and analysis, and the poster session.
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Computer Vision Approaches to Medical Image Analysis : Second International Workshop, CVAMIA 2006, Graz, Austria, May 12, 2006: Revised Papers
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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, 4241)
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Computer Vision Approaches to Medical Image Analysis
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Taschenbuch. Condition: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -This book constitutes the thoroughly refereed post proceedings of the international workshop Computer Vision Approaches to Medical Image Analysis, CVAMIA 2006, held in Graz, Austria in May 2006 as a satellite event of the 9th European Conference on Computer Vision, EECV 2006. The 10 revised full papers and 11 revised poster papers presented together with one invited talk were carefully reviewed and selected from 38 submissions. 280 pp. Englisch. Seller Inventory # 9783540462576
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Computer Vision Approaches to Medical Image Analysis : Second International ECCV Workshop, CVAMIA 2006, Graz, Austria, May 12, 2006, Revised Papers
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Taschenbuch. Condition: Neu. Druck auf Anfrage Neuware - Printed after ordering - 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'. Seller Inventory # 9783540462576
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Computer Vision Approaches to Medical Image Analysis
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Taschenbuch. Condition: Neu. Neuware -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¿.Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg 280 pp. Englisch. Seller Inventory # 9783540462576
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Computer Vision Approaches to Medical Image Analysis: Second International ECCV Workshop, CVAMIA 2006, Graz, Austria, May 12, 2006, Revised Papers . Vision, Pattern Recognition, and Graphics)
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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, 4241)
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