cervical smear

The Research and Design on Diagnosis System of Cervical Smear Based on Neural Network

基于神经网络的宫颈涂片诊断系统的研究与设计

The cervical smear test is a lifesaver.

宫颈涂片检查能够帮上大忙。

The Recognition of the Cervical Smear Based on Artificial Neural Network

基于人工神经网络的子宫颈癌细胞识别

Methods PCR test kit, smear and bacteria culture were used to detect gonococcal infection for the cervical samples of 190 females.

方法通过对比分析，采用培养、涂片和PCR三种方法，对190例疑似宫颈淋球菌感染标本进行检测。

Comparison of computer-assisted cytological test with the traditional cervical smear test

应用计算机辅助细胞检测系统（CCT）与传统光镜宫颈涂片520例对比研究

Results : The sensitivity of cervical smear is 64.10 %, and the vaginoscopy's is 82.05 %.

结果宫颈涂片细胞学敏感度为64.10%,阴道镜检查敏感度为82.05%.

Methods : 326 patients inspected by cervical smear, vaginoscopy and cervical histopathological examination.

方法对326例患者采用宫颈细胞涂片和阴道镜检查及宫颈进行宫颈组织病理学检查.

E . Pap smear, urine pregnancy test, urinalysis and urine culture. Cervical culture for gonorrhea and chlamydia.

巴氏涂片, 尿妊娠试验, 尿分析和尿培养. 宫颈分泌物淋病和衣原体培养.