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Titlebook: Medical Data Analysis; 4th International Sy Petra Perner,Rüdiger Brause,Hermann-Georg Holzhütt Conference proceedings 2003 Springer-Verlag

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樓主: 哥哥大傻瓜
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發(fā)表于 2025-3-28 16:04:33 | 只看該作者
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發(fā)表于 2025-3-28 21:36:27 | 只看該作者
Tuning of Diagnosis Support Rules through Visualizing Data Transformationsared with similar records of previous patients with confirmed diagnosis. Such scheme has been implemented among others in the Hepar system, which comprises a hepathological database and a variety of procedures that aim at data analysis and the support of diagnosis. The diagnosis support rules of thi
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發(fā)表于 2025-3-29 00:45:39 | 只看該作者
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發(fā)表于 2025-3-29 05:44:37 | 只看該作者
A Virtual Approach to Integrating Biomedical Databases and Terminologieschievements and plans to develop a series of tools to provide on-line integration of remote medical and genetic databases through a common, Web-based browser. Users at research and professional settings will soon need guided access to a wide range of medical (e.g, clinical databases, medical records
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發(fā)表于 2025-3-29 07:48:52 | 只看該作者
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發(fā)表于 2025-3-29 12:18:11 | 只看該作者
Isobologram Analysis in MATLAB for Combined Effects of Two Agents in Dose-Response Experiments considered synergistic or antagonistic. Resulting from a clinical consulting case in urology we developed a MATLAB-based software tool for automated isobologram analysis. In this way we supplement the clinical software-equipment in our laboratory and encourage the evaluation of combined dose-respon
47#
發(fā)表于 2025-3-29 16:32:54 | 只看該作者
Health Monitoring by an Image Interpretation System – A System for Airborne Fungi Identificationrules protecting employees in the workplace from biological hazards. Airborne fungi can be detected and identified by an image acquisition and interpretation system. In this paper we present recent results on the development of an image interpretation system for airborne fungi identification. We exp
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發(fā)表于 2025-3-29 23:42:49 | 只看該作者
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發(fā)表于 2025-3-30 02:16:22 | 只看該作者
Interactive Visualization of Diagnostic Data from Cardiac Images Using 3D Glyphsphs to get better insight about the measured data. First, we reconstruct the 3D shape and motion of the left ventricle from cardiac images using our time-varying deformable model. Then we accurately compute ventricular volume, mass, wall thickness and wall motion in 3D or 4D spaces. The computed dat
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發(fā)表于 2025-3-30 05:00:11 | 只看該作者
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