A computer aided system for calculation of Ki-67 proliferation index

Osman Özkaraca, Yelda Dere, Gürcan Çetin, M. Peker
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Abstract

Neuroendocrine tumors (NET) are a heterogeneous group of tumors that can develop in almost every localization of the body. The study is the computation of the Ki-67 proliferation index, which is an important information for physicians, from the NET images. The physician control evaluations were carried out on histopathologic forms taken from healthy and NET-diagnosed patients with the designed automated cell counting system performed. The pathological image analysis of the physician were operated for about 10 minutes while the performed system the average of 5 sec depending on resolution and density of the image. The obtained results were close to 98,71% when compared to the findings of the physician. It has been seen that the realized application has produced very short time and much more accurate in the analysis of these NET images than the analysis of the eyes.
Ki-67增殖指数的计算机辅助计算系统
神经内分泌肿瘤(NET)是一种异质性的肿瘤,几乎可以在身体的每个部位发生。本研究从NET图像中计算Ki-67增殖指数,这是医生的重要信息。采用设计的自动细胞计数系统,对健康和net诊断患者的组织病理形态进行医师对照评估。医生的病理图像分析操作约10分钟,而执行系统平均5秒取决于图像的分辨率和密度。与内科医生的诊断结果相比,获得的结果接近98.71%。结果表明,所实现的应用程序对这些。NET图像的分析时间非常短,而且比人眼的分析要准确得多。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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