Performance of a semiautomated papanicolaou smear screening system

199845 citationsJournal Article

Authors

Mark E. Sherman · Johns Hopkins University

Mark Schiffman · Division of Cancer Epidemiology and Genetics

Rolando Herrero · Centre International de Recherche sur le Cancer

Deidra Kelly

Concepción Bratti · Ministerio de Salud

Laurie J. Mango

Mario Alfaro · Costa Rican Department of Social Security

Martha L. Hutchinson

Abstract

In this study, PAPNET-assisted cytologic screening accurately identified smears obtained from women with high grade SIL or carcinoma. Determination of the clinical cost-effectiveness of PAPNET-assisted screening in routine practice awaits future study.

Topics & Keywords

AI in cancer detection Cervical Cancer and HPV Research

UN Sustainable Development Goals

Good health and well-being

Publication Details

Published in: Cancer

Volume 84, Issue 5, pp. 273-280

DOI: 10.1002/(sici)1097-0142(19981025)84:5<273::aid-cncr2>3.0.co;2-#

Field-Weighted Citation Impact: 6.42