Patient classification based on cytologic sample profiles. I. Basic measures for profile construction.
Past efforts in the field of automated cell recognition have focused upon the separation and classification of cell types. From these efforts, large data banks have been built and work in the field is now shifting towards the practical application of this information for clinical diagnoses. This paper presents the initial results of work on a system developed to undertake the reduction of the masses of data into diagnostically useful patient cytologic sample profiles.
D001322:Autoanalysis; D002278:Carcinoma in Situ / Q000175:diagnosis*; D002584:Cervix Uteri / Q000473:pathology*; D003201:Computers; D005260:Female; D006801:Humans; D008433:Mathematics; D008679:Metaplasia / Q000175:diagnosis; D002583:Uterine Cervical Neoplasms / Q000175:diagnosis*; D014626:Vaginal Smears