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Titlebook: Computer Vision and Mathematical Methods in Medical and Biomedical Image Analysis; ECCV 2004 Workshops Milan Sonka,Ioannis A. Kakadiaris,J

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書目名稱Computer Vision and Mathematical Methods in Medical and Biomedical Image Analysis
副標題ECCV 2004 Workshops
編輯Milan Sonka,Ioannis A. Kakadiaris,Jan Kybic
視頻videohttp://file.papertrans.cn/235/234071/234071.mp4
概述Includes supplementary material:
叢書名稱Lecture Notes in Computer Science
圖書封面Titlebook: Computer Vision and Mathematical Methods in Medical and Biomedical Image Analysis; ECCV 2004 Workshops  Milan Sonka,Ioannis A. Kakadiaris,J
描述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 analys
出版日期Conference proceedings 2004
關(guān)鍵詞3 d imaging; Computer Vision; Image segmentation; biomedical engineering; biomedical image analysis; huma
版次1
doihttps://doi.org/10.1007/b98995
isbn_softcover978-3-540-22675-8
isbn_ebook978-3-540-27816-0Series ISSN 0302-9743 Series E-ISSN 1611-3349
issn_series 0302-9743
copyrightSpringer-Verlag Berlin Heidelberg 2004
The information of publication is updating

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書目名稱Computer Vision and Mathematical Methods in Medical and Biomedical Image Analysis被引頻次




書目名稱Computer Vision and Mathematical Methods in Medical and Biomedical Image Analysis被引頻次學科排名




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https://doi.org/10.1007/978-1-4302-0176-2ast micro-calcification and vessel calcifications, heart valves, and normal arteries. Vibro-acoustography can also make spot measurements such as microbubble contrast agent concentration in vessels. Several examples of these results will be described.
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https://doi.org/10.1007/978-1-4302-0176-2e information for each frame using 2D to 3D model matching techniques [1-3]. Metallic markers are attached to the object being imaged to provide features for pose determination. Given the pose, we apply Grangeat’s cone-beam reconstruction algorithm to recover the 3D data..In developing this approach
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Datasources and Query Executers, and apply it to the computation of the variability of diffusion tensor data. We expect that these methods will be useful in the registration of diffusion tensor images, the production of statistical atlases from diffusion tensor data, and the quantification of the anatomical variability caused by d
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Ultrasound Stimulated Vibro-acoustographyast micro-calcification and vessel calcifications, heart valves, and normal arteries. Vibro-acoustography can also make spot measurements such as microbubble contrast agent concentration in vessels. Several examples of these results will be described.
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