PMID: 9557269Apr 29, 1998Paper

PAPNET computer-aided rescreening for detection of benign and malignant glandular elements in cervicovaginal smears: a review of 61 cases

Diagnostic Cytopathology
C D SturgisD V DeFrias

Abstract

An increasing proportion of the recent cytodiagnostic literature has focused on automation of the Pap smear screening process in hopes of finding a feasible system to aid in the reduction of the number of reported false-negative cases. In a sense, these systems can be thought of as computer-driven sensitivity enhancers for better detection of abnormalities in smeared cervicovaginal specimens. The PAPNET system (Neuromedical Systems, Inc., Suffern, NY) relies on a neural network of artificial-intelligence technology to recognize the complex cellular arrays present in Pap smears, and was originally intended to aid in the identification of morphologically abnormal cells of squamous origin. Herein, we present the results of 61 smears containing a mixture of known diagnostically important benign, dysplastic, and malignant glandular cellular abnormalities which were reviewed by the PAPNET technology. The PAPNET system detected the diagnostic glandular material in 44 of the 45 benign cases reviewed (98% detection rate). In addition, the PAPNET technology identified abnormal cellular material in 15 of the 16 studied smears from patients with malignant/dysplastic morphology (94% detection rate). These data indicate that the PAPNET neura...Continue Reading

References

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Jan 1, 1997·Acta Cytologica·J JennyO A Husain

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Citations

Jun 6, 2007·American Journal of Obstetrics and Gynecology·Heather N BealMary E McAsey
Aug 17, 2000·Diagnostic Cytopathology·J L VriesemaM E Boon
Feb 27, 2016·Biomedical Engineering and Computational Biology·Abraham PouliakisPetros Karakitsos

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