摘要： 本文给出了宫颈癌细胞图像的处理、分析、特征提取及癌细胞的识别算法。从近50张涂片中输入共513幅各类细胞来验证该算法,识别率达到真阴性97.5％和真阳性90.9％,结果表明该算法完全可用于临床识别系统。
Abstract: To be used with a cell image analysis system, the algorithms for image preprocessing, feature extraction and cell recognition are given here. The classification results show that the recognition rate is better than 97.5% (real negative) and 90.9% (real positive).
周晔,丁肇俊,俞顺章,任秋芳. 宫颈细胞图像分析系统[J]. , 1991, 17(02): 31-.
Zhou Ye. A CERVICAL CELL IMAGE ANALYSIS SYSTEM[J]. , 1991, 17(02): 31-.