Document Detail


Computer recognition of abnormal ectocervical cells. Comparison of the efficacy of contour and textural features.
MedLine Citation:
PMID:  349989     Owner:  NLM     Status:  MEDLINE    
Abstract/OtherAbstract:
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.
Authors:
J J Sychra; P H Bartels; M Bibbo; J Taylor; G L Wied
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Publication Detail:
Type:  Comparative Study; Journal Article; Research Support, U.S. Gov't, P.H.S.    
Journal Detail:
Title:  Acta cytologica     Volume:  21     ISSN:  0001-5547     ISO Abbreviation:  Acta Cytol.     Publication Date:    1977 Nov-Dec
Date Detail:
Created Date:  1978-07-15     Completed Date:  1978-07-15     Revised Date:  2006-11-15    
Medline Journal Info:
Nlm Unique ID:  0370307     Medline TA:  Acta Cytol     Country:  UNITED STATES    
Other Details:
Languages:  eng     Pagination:  765-9     Citation Subset:  IM    
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MeSH Terms
Descriptor/Qualifier:
Cell Nucleus / ultrastructure
Computers
Cytodiagnosis / methods*
Cytoplasm / ultrastructure
Diagnosis, Computer-Assisted*
Diagnosis, Differential
Female
Humans
Pattern Recognition, Automated*
Uterine Cervical Neoplasms / diagnosis*

From MEDLINE®/PubMed®, a database of the U.S. National Library of Medicine


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