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良恶性滋养层肿瘤的计算机图象判别
引用本文:张云汉,张绍敏,黄长征,李惠翔,高冬玲,李逊霞,王玉萍,张蕾.良恶性滋养层肿瘤的计算机图象判别[J].肿瘤基础与临床,1993(1).
作者姓名:张云汉  张绍敏  黄长征  李惠翔  高冬玲  李逊霞  王玉萍  张蕾
作者单位:河南医科大学病理学教研室,河南医科大学病理学教研室,河南医科大学病理学教研室,河南医科大学病理学教研室,河南医科大学病理学教研室,河南医科大学科研处,河南医科大学第三附属医院,河南医科大学第三附属医院
摘    要:采用计算机图象分析系统,我们对30例良恶性滋养层肿瘤进行了定量检测。通过对15种参数的定量测定,发现细胞核的面积、周长、形状因子等9种参数可用于良恶性滋养层肿瘤的判别,尤其是葡萄胎和侵袭性葡萄胎的分辨率可达100%。本研究为通过刮宫样品鉴别侵袭性葡萄胎及葡萄胎提出了一种新的技术手段。

关 键 词:滋养层肿瘤  计算机  图象分析

The Discrimination of Benign and Malignant Trophoblastic Neoplasms by Computer Image-Apalysis System
Zhang Yunhan Deparrtment of Pathology,Henan Medical Unirersity,Zhengzhou.The Discrimination of Benign and Malignant Trophoblastic Neoplasms by Computer Image-Apalysis System[J].journal of basic and clinical oncology,1993(1).
Authors:Zhang Yunhan Deparrtment of Pathology  Henan Medical Unirersity  Zhengzhou
Institution:Zhang Yunhan Deparrtment of Pathology,Henan Medical Unirersity,Zhengzhou,450052
Abstract:Using computer image analysis system,we quantitatively determined 30 cases of benign and malignant trophoblastic neoplasms.Through the quantitative determination of parameters of 15 kinds, we found that the Parameters of 9 kinds such as the area,perimeter,form factor of nuclei,etc could distinguish the benign and malignant trophoblastic neoplasms.Especially the distinguishable rate between the vesicular mole and invasive mole could reach 100%.This research provided a new technique which could discriminate the invasive mole from vesicular mole on the specimens of diagnostic curettage.
Keywords:trophoblastic neoplasm  computer  image analysis
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