1997
DOI: 10.1159/000332304
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AutoPap 300 QC System Scoring of Cervical Smears Without “Epithelial Cell Abnormalities”

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Cited by 5 publications
(4 citation statements)
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“…This finding was also observed by others. 2,3 It is explained by the fact that the AutoPap system algorithm was developed to identify slides that may share some morphologic similarities with significant diagnostic entities. 2 The majority of cases with microorganisms, such as Trichomonas vaginalis and Candida, were included in the review category.…”
Section: Discussionmentioning
confidence: 99%
“…This finding was also observed by others. 2,3 It is explained by the fact that the AutoPap system algorithm was developed to identify slides that may share some morphologic similarities with significant diagnostic entities. 2 The majority of cases with microorganisms, such as Trichomonas vaginalis and Candida, were included in the review category.…”
Section: Discussionmentioning
confidence: 99%
“…22,29 Liquidbased preparation is a new, generic term adopted at an international cytology consensus conference and is essentially synonymous with earlier terms, monolayer and thin layer. Other attempts to improve cytology practice have focused on improving screening of the conventional cervical cytologic smear through implementation of adjunctive automated screeners 5 and quality control rescreening devices. 16 The sources of error in conventional cervical cytology are many 6,11,12,24 in spite of the excellent performance of the smear in reducing morbidity and mortality from cervical carcinoma over the past 40 years.…”
mentioning
confidence: 99%
“…1,10,12 Other improvements to cervical cytology screening performance depend upon enhancement and support of the processes of cell detection and interpretation using automated screeners. 3,9 AutoCyte SCREEN, which is awaiting FDA approval, is designed as an automated, interactive screening system that incorporates dual, parallel interpretation of liquid-based preparations. Interpretation depends upon both cellular image evaluation and an independent computer specimen classifier.…”
mentioning
confidence: 99%