title: Automation in cervical cytology: an overview.
abstract: Cancer of the uterine cervix is one of the more common female cancers and a major source of premature female mortality. UK deaths in 1987 exceeded 2000. To reduce these rates, national screening programmes have been introduced using the Papanicolaou method. In screening for cancer, the examination of specimens is an intensive and expensive task. Its high cost has led to a number of attempts to automate the process, either fully or partially. Over the last 30 years, various experimental prescreening systems have been developed for the diagnosis of cytological samples including the use of image processing techniques. This paper presents a historical overview of automation in cervical cytology and the status of current developments for automated cytological diagnosis.
authors.affiliation: Department of Mathematics and Computer Science, Dundee University, Scotland.
authors.forename: H
authors.initials: H
authors.lastname: Banda-Gamboa
authors.forename: I
authors.initials: I
authors.lastname: Ricketts
authors.forename: A
authors.initials: A
authors.lastname: Cairns
authors.forename: K
authors.initials: K
authors.lastname: Hussein
authors.forename: J H
authors.initials: JH
authors.lastname: Tucker
authors.forename: N
authors.initials: N
authors.lastname: Husain
mesh_terms: D001331:Automation; D003362:Cost-Benefit Analysis; D005260:Female; D006801:Humans; D007091:Image Processing, Computer-Assisted; D065006:Papanicolaou Test; D006113:United Kingdom; D002583:Uterine Cervical Neoplasms / Q000175:diagnosis*; D014626:Vaginal Smears