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Research and Implementation of A Computer-aided Diagnosis Algorithm Platform

机译:计算机辅助诊断算法平台的研究与实现

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The accuracy of medical imaging equipment examination depends on the quality of both the image acquisition and computer-aided diagnosis. Therefore the development of computer-aided diagnosis system has become the most important factor of the development of medical imaging equipment. The paper introduces a computer-aided diagnosis algorithm platform (CADAP), which includes medical image 3D visualization, image enhancement, image segmentation, region of interest detection, feature extract and classification algorithm, and it can increase researcher's productivity and efficiency to develop more CAD system. Through integrating workflow into algorithm platform, the algorithm platform whose process can be defined and reengineered by its user easily is developed based on component and multi architecture.
机译:医学成像设备检查的准确性取决于图像采集和计算机辅助诊断的质量。因此,计算机辅助诊断系统的发展已成为医学成像设备发展的最重要因素。本文介绍了一种计算机辅助诊断算法平台(Cadap),包括医学图像3D可视化,图像增强,图像分割,感兴趣区域区域,特征提取和分类算法,可以提高研究者的生产力和效率,以开发更多CAD系统。通过将工作流程集成到算法平台,基于组件和多架构开发了可由其用户定义和重新登记其过程的算法平台。

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