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子宫癌自动细胞筛查的基础研究。III. 利用模式识别方法的自动化仪器新系统(CYBEST)

Fundamental study of automatic cyto-screening for uterine cancer. III. New system of automated apparatus (CYBEST) utilizing the pattern recognition method.

作者信息

Tanaka N, Ikeda H, Ueno T, Watanabe S, Imasato Y

出版信息

Acta Cytol. 1977 Jan-Feb;21(1):85-9.

PMID:319612
Abstract

An investigation was carried out, both from the point of view of combining features which are considered as being of the highest reliability based on pattern analysis of the nuclear structure and cytoplasm of cells, and the complexity of the apparatus. Several features such as "ambiguity" function were extracted by mathematical and statistical processing, and these were then made the parameters of a diagnostic logic. Also, a method in which a "differential histogram" and a "threshold value" are combined was developed for segmentation of cells. It became possible to operate an automatic scanning machine at a speed of about six minutes per slide using two-stage coarse and fine scanning of a flying spot scanner. The advantage of this system is flexibility of diagnostic program logic and speed of algorithms for a determined number of cellular features. An automatic focusing system was also developed and it functions satisfactorily at high speed on a fully extended regular object slide.

摘要

我们进行了一项研究,既从基于细胞的核结构和细胞质的模式分析而被认为具有最高可靠性的特征组合的角度,也从设备的复杂性的角度进行了研究。通过数学和统计处理提取了诸如“模糊性”函数等几个特征,然后将这些特征作为诊断逻辑的参数。此外,还开发了一种将“差异直方图”和“阈值”相结合的方法用于细胞分割。使用飞点扫描仪的两级粗扫描和细扫描,能够以每张载玻片约六分钟的速度操作自动扫描机。该系统的优点是诊断程序逻辑的灵活性和针对确定数量的细胞特征的算法速度。还开发了一种自动聚焦系统,它在完全伸展的常规载玻片上能高速良好运行。

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