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Titlebook: Advances in Computational Vision and Medical Image Processing; Methods and Applicat Jo?o Manuel R. S. Tavares (Faculty of Engineering Book

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發(fā)表于 2025-3-21 19:30:00 | 只看該作者 |倒序瀏覽 |閱讀模式
期刊全稱Advances in Computational Vision and Medical Image Processing
期刊簡稱Methods and Applicat
影響因子2023Jo?o Manuel R. S. Tavares (Faculty of Engineering
視頻videohttp://file.papertrans.cn/148/147188/147188.mp4
發(fā)行地址Multidisciplinary.A set of papers from international experts.Novel methods, techniques and methodologies.First ECCOMAS conference concerning image processing area
學科分類Computational Methods in Applied Sciences
圖書封面Titlebook: Advances in Computational Vision and Medical Image Processing; Methods and Applicat Jo?o Manuel R. S. Tavares (Faculty of Engineering  Book
影響因子Computational methodologies of signal processing and imaging analysis, namely considering 2D and 3D images, are commonly used in different applications of the human society. For example, Computational Vision systems are progressively used for surveillance tasks, traf?c analysis, recognition process, inspection p- poses, human-machine interfaces, 3D vision and deformation analysis. One of the main characteristics of the Computational Vision domain is its int- multidisciplinary. In fact, in this domain, methodologies of several more fundam- tal sciences, such as Informatics, Mathematics, Statistics, Psychology, Mechanics and Physics are usually used. Besides this inter-multidisciplinary characteristic, one of the main reasons that contributes for the continually effort done in this domain of the human knowledge is the number of applications in the medical area. For instance, it is possible to consider the use of statistical or physical procedures on medical images in order to model the represented structures. This modeling can have different goals, for example: shape reconstruction, segmentation, registration, behavior interpretation and simulation, motion and deformation analysis, v
Pindex Book 2009
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1871-3033 modeling can have different goals, for example: shape reconstruction, segmentation, registration, behavior interpretation and simulation, motion and deformation analysis, v978-90-481-8066-0978-1-4020-9086-8Series ISSN 1871-3033 Series E-ISSN 2543-0203
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,Neue Ans?tze. Die Situation bis 1954,oupled set of differential and integral equations, and quite often numerically evaluated using finite element (or boundary element) simulations. To further emphasize the premise of cardiac modeling from imaging data, we state a few computational biomedical modeling and simulation examples: 3D comput
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Using Passive Sensing to Identify Depression forth — in short, in all areas where discrete multidimensional data need to be represented, visualized, processed, or analyzed. The objects in these areas often represent surfaces and volumes of real objects. We discuss some applications of digital curves and surfaces to medical imaging, implied by
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Conference proceedings‘‘‘‘‘‘‘‘ 2025course domain, but could cluster evaluation results into semantically meaningful subsets of behaviours. The envisaged system will comprise an internal logic-based representation which enables it to comment each individual subset, giving natural language explanations of why the system has created the
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Modeling Cardiovascular Anatomy from Patient-Specific Imaging,bsurface soils after NF conversion. There were also significant differences in SOC and TN stocks (.?0.05) between the surface and subsurface soils of different land cover types. The stocks decreased as soil depth increased. This trend suggests that (i) forest-to-cropland conversions are undermining
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