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Simulation of medical image interpretation

机译:医学图像解释模拟

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摘要

Medical images carry information in a complex data format about the organ and the related pathologies. Physicians must decipher this information from the image. In this paper a workflow of the image interpretation simulation and a set of numerical image processing algorithms are presented. The paper is focused on the available segmentation and feature extraction methods. The main goal is to create a framework to identify the most suitable segmentation and feature extraction method for a medical image interpretation system.
机译:医学图像以复杂的数据格式携带有关器官和相关病理的信息。医师必须从图像中解密此信息。本文提出了图像解释仿真的工作流程和一组数字图像处理算法。本文着重于可用的分割和特征提取方法。主要目标是创建一个框架,以识别最适合用于医学图像解释系统的分割和特征提取方法。

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