Evaluation of single-cell classification schemes for computer classification of cervical cells.
Three single-cell classification schemes were evaluated and compared with the performance of a cytotechnologist in classifying single cells from routinely prepared cervical smears. All of the single-cell classification schemes were found to approach the performance of the cytotechnologist in distinguishing normal squamous cells from significantly dysplastic or malignant squamous cells. For distinguishing non-squamous cell types from dysplastic or malignant squamous cells, however, all three schemes fell far short of the cytotechnologist's performance in classifying the same cells. Current research aimed at overcoming these difficulties is also described.
D002278:Carcinoma in Situ / Q000175:diagnosis; D002584:Cervix Uteri / Q000166:cytology*; D003201:Computers; D003581:Cytodiagnosis / Q000379:methods*; D005069:Evaluation Studies as Topic; D005189:False Positive Reactions; D005260:Female; D006801:Humans; D002578:Uterine Cervical Dysplasia / Q000175:diagnosis; D002583:Uterine Cervical Neoplasms / Q000175:diagnosis*