模拟医学图像判读

N. Gal, V. Stoicu-Tivadar
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引用次数: 1

摘要

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。医生必须从图像中破译这些信息。本文给出了图像解译仿真的工作流程和一套数值图像处理算法。本文重点研究了现有的图像分割和特征提取方法。主要目标是创建一个框架,以确定最适合医学图像解释系统的分割和特征提取方法。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Simulation of medical image interpretation
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.
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