Holmquist J, Bengtsson E, Eriksson O, Nordin B, Stenkvist B
J Histochem Cytochem. 1978 Nov;26(11):1000-17. doi: 10.1177/26.11.569164.
A prescreening instrument for cervical smears using computerized image processing and pattern recognition techniques requires that single cells in the specimen can be automatically isolated and analyzed. This paper describes a dual wavelength method for automatic isolation of the cytoplasm and nuclei of cells. Density-oriented, shape-oriented and texture-oriented parameters were calculated and evaluated for more than 600 cells. It is shown that the computer can be taught to distinguish between normal and atypical cells with an accuracy of ca. 97%, while human classification reproducibility is ca. 95%. In addition, an attempt to assign a measure of atypia to individual cells is described.
一种使用计算机图像处理和模式识别技术的宫颈涂片预筛查仪器，要求能够自动分离和分析标本中的单个细胞。本文描述了一种用于自动分离细胞胞质和细胞核的双波长方法。针对600多个细胞计算并评估了密度导向、形状导向和纹理导向参数。结果表明，计算机能够被训练以约97%的准确率区分正常细胞和非典型细胞，而人工分类的再现性约为95%。此外，还描述了一种尝试为单个细胞赋予非典型性度量的方法。
