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