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肺癌细胞学亚型巴氏染色的计算机图像色度学定量分析
引用本文:申洪,陆药丹.肺癌细胞学亚型巴氏染色的计算机图像色度学定量分析[J].生物物理学报,1994,10(2):323-327.
作者姓名:申洪  陆药丹
作者单位:广州第一军医大学病理学教研室
摘    要:用计算机图像处理技术,对痰涂片中巴氏染色的角化性鳞癌细胞(KSCC)、非角化性鳞癌细胞(NKSCC)和腺癌细胞(ACC)胞浆进行了色度学定量分析。测试参数为红(R)、绿(G)、蓝(B)三基包含量和R、G、B的三色系数,同时还测算了胞浆的色度、饱和度、亮度和灰度,并进行了逐步判别分析。结果表明:KSCC的R、G、B及其三色系数、色度、饱和度与NKSCC和ACC相比差异非常显著;三基色的改变较灰度敏感.用三色系数、色度、饱和度对KSCC与NKSCC、KSCC与ACC进行计算机判别,准确度可达95.3%和97.1%。这些结果提示:三基色、三色系数及色度、饱和度分析对判别KSCC与NKSCC、KSCC与ACC有重要价值。对有关问题进行了讨论。

关 键 词:色度学,图像分析,形态定量,肺癌,细胞学

QUANTITATIVE CHROMATICS ANALYSES FOR THE COMPUTER IMAGE OF CYTOLOGIC SUBTYPES OF LUNG CANCER STAINED BY THE PAPANICAOLAOU
Shen Hong,Lu Yaodan,Zhang Yixun,Li Chunde ,Zhao Tong.QUANTITATIVE CHROMATICS ANALYSES FOR THE COMPUTER IMAGE OF CYTOLOGIC SUBTYPES OF LUNG CANCER STAINED BY THE PAPANICAOLAOU[J].Acta Biophysica Sinica,1994,10(2):323-327.
Authors:Shen Hong  Lu Yaodan  Zhang Yixun  Li Chunde  Zhao Tong
Abstract:By means of computer image analysis technique, keratinized squamous carcinoma cell (KSCC), non-keratinized squamous carcinoma cell (NKSCC) and adenocarcinoma cell (ACC)of lung in phlegm smear stained with papanicolaou were analyses and distinguished by quantitative colorimetry of their cytoplasm. The measured parameters were the content of three fundamental colours, Red(R). Green (G). and Blue(B), and the coefficient of these three.The hue. saturation. brightness and grey level were also meased. analyzed and Stepwise discriminant analysis was made. The results showed that the differences of R. G. B and their coeffieients. the hue and saturation between that of KSCC with that of NKSCC and ACC are vern significaton; change of three fundamental colors is mose sensitive than that of grey level.Using computer judgemnt of three fundamental color coefficients, hue and saturation, the corect rate of distinguishing KSCC from NKSCC or KSCC from ACC arched to 95.3% and 97.1% respectively. It is suggestal that analysis of fundamental colors,their coefficients, hue,and satulation is valuble for distinguishing KSCC from NKSCC, or KSCC from ACC. Some issues were discussed.
Keywords:Chromatics Image analysis Morphometry Lung cancer Cytologic
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