Suppr超能文献

CYBEST 2型模型在实际妇科肿块筛查中的现场测试与实验应用。

Field test and experimental use of CYBEST model 2 for practical gynecologic mass screening.

作者信息

Tanaka N, Ikeda H, Ueno T, Mukawa A, Kamitsuma K

出版信息

Anal Quant Cytol. 1979 Jul-Aug;1(2):122-6.

PMID:543573
Abstract

CYBEST is an automated cytologic screening system for uterine cancer utilizing a pattern-recognition image-analysis system. The prototype was developed in 1972 following fundamental studies of feature extraction, feature evaluation using ambiguity differential functions and segmentation of cell and nuclear images. Model 2 was developed in 1974 with an improved mechanism and function. The parameters employed are nuclear size, nuclear optical density, N/C ratio and nuclear shape. The data of field tests using 220 samples containing three cases of dysplasia, 110 cases of carcinoma and 107 nonmalignant cases were as follows: two false-negative cases (1.8%), 13 false positives (12.1%) and one reject (0.9%). This system was experimentally tested for practical mass population screening with 1,829 cases including 17 atypical cases (four epidermoid carcinomas). The data were as follows: no false-negative cases and 581 false-positive cases (32.1%). Of the latter, 311 cases (17.2%) were pathologic samples, such as severe cervicitis, senile colpitis, Trichomonas infestation, etc., and the remaining 270 cases (14.9%) were within physiologic limits, corresponding to true false-positive samples.

摘要

CYBEST是一种利用模式识别图像分析系统进行子宫癌自动细胞学筛查的系统。该原型于1972年在对特征提取、使用模糊微分函数进行特征评估以及细胞和细胞核图像分割的基础研究之后开发出来。1974年开发了2型,其机制和功能有所改进。所采用的参数有核大小、核光密度、N/C比值和核形状。对包含3例发育异常、110例癌和107例非恶性病例的220个样本进行现场测试的数据如下:2例假阴性病例(1.8%)、13例假阳性病例(12.1%)和1例被拒收病例(0.9%)。该系统针对1829例(包括17例非典型病例,其中4例为表皮样癌)进行了实际大规模人群筛查的实验测试。数据如下:无假阴性病例,581例假阳性病例(32.1%)。在后者中,311例(17.2%)为病理样本,如重度宫颈炎、老年性阴道炎、滴虫感染等,其余270例(14.9%)在生理范围内,相当于真正的假阳性样本。

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验