title: Computer recognition of abnormal ectocervical cells. Comparison of the efficacy of contour and textural features.
abstract: The efficacy of contour and texture features for the computer recognition of abnormal ectocervical cells is compared. For this comparison, three cell groups were formed: benign, suspicious and malignant. Nine decision rules were derived. The discrimination attained by features derived from the contours of nucleus and cytoplasm is comparable to that achieved by textural features. A combination of both kinds of features gives best results.
mesh_terms: D002467:Cell Nucleus / Q000648:ultrastructure; D003201:Computers; D003581:Cytodiagnosis / Q000379:methods*; D003593:Cytoplasm / Q000648:ultrastructure; D003936:Diagnosis, Computer-Assisted; D003937:Diagnosis, Differential; D005260:Female; D006801:Humans; D010363:Pattern Recognition, Automated; D002583:Uterine Cervical Neoplasms / Q000175:diagnosis*