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    
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.
J J Sychra; P H Bartels; M Bibbo; J Taylor; G L Wied
Related Documents :
22440369 - Stem cells in thoracic aortic aneurysms and dissections: potential contributors to aort...
7277519 - Cutaneous t cell lymphoma (mycosis fungoides) in blacks.
22324039 - Hypertonic saline downregulate the production level of lipopolysaccharide-induced migra...
21518959 - A klf4-mirna-206 autoregulatory feedback loop can promote or inhibit protein translatio...
7352489 - Neural origin of cells in amniotic fluid.
22537679 - Synthesis and biological evaluation of a new class of glycoconjugated disulfides that e...
21367309 - 329 genetic targeting of the porcine α1,3-galactosyltransferase gene in fetal fibrobla...
1371209 - In vitro activation of bronchoalveolar lavage cells by house dust mite allergens.
22995729 - The pantheon of the fallen: why are there so many forms of cell death?
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    
Export Citation:
APA/MLA Format     Download EndNote     Download BibTex
MeSH Terms
Cell Nucleus / ultrastructure
Cytodiagnosis / methods*
Cytoplasm / ultrastructure
Diagnosis, Computer-Assisted*
Diagnosis, Differential
Pattern Recognition, Automated*
Uterine Cervical Neoplasms / diagnosis*

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

Previous Document:  Computer recognition of ectocervical cells. Classification accuracy and spatial resolution.
Next Document:  Computer recognition of binucleation with overlapping in epithelial cells.