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Colon cancer diagnosis on digital tissue images

机译:数字组织图像上的结肠癌诊断

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The purpose of this project is to develop a software which can be an aid for difficult colon cancer diagnosis and using this system the patients can be helped with an early diagnosis. The aim can be achieved with processing and analysing microscopic tissue images. This paper contains the basic knowledges related to the project and the description of the developed system. The implemented algorithms determines the locations and features of glands and save these information for the subsequent diagnosis. One of the most important algorithm in this project is the Color Structure Code, which performs a color based segmentation and the output is the starting point of the further process.
机译:该项目的目的是开发可以帮助困难的结肠癌诊断的软件,使用该系统可以帮助患者进行早期诊断。该目标可以通过处理和分析显微组织图像来实现。本文包含与项目有关的基本知识以及对已开发系统的描述。实施的算法确定腺体的位置和特征,并保存这些信息以用于后续诊断。该项目中最重要的算法之一是颜色结构代码,该代码执行基于颜色的分割,输出是进一步处理的起点。

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