An automated machine vision system for the histological grading of cervical intraepithelial neoplasia (CIN)

Journal of Pathology

Volumn 192, Issue 3, 2000, Pages 351-362

  Keenan, Stephen J ^a   Diamond, James ^a   Glenn McCluggage, W ^b   Bharucha, Hoshang ^b   Thompson, Deborah ^c   Bartels, Peter H ^c   Hamilton, Peter W ^a  

^a QUEEN'S UNIVERSITY BELFAST   (United Kingdom)

^b ROYAL GROUP OF HOSPITALS TRUST   (United Kingdom)

^c UNIVERSITY OF ARIZONA   (United States)

Author keywords

Cancer; Cervical intraepithelial neoplasia; CIN; Delaunay; Euclidean distance; Histology; Image processing; Machine vision; Morphometry

Indexed keywords

ANALYTICAL EQUIPMENT; ARTICLE; AUTOMATION; CANCER GRADING; CYTOARCHITECTURE; DISCRIMINANT ANALYSIS; HISTOPATHOLOGY; HUMAN; HUMAN TISSUE; IMAGE ANALYSIS; IMAGE PROCESSING; MAJOR CLINICAL STUDY; PRIORITY JOURNAL; QUANTITATIVE HISTOCHEMISTRY; REPRODUCIBILITY; SCORING SYSTEM; SQUAMOUS EPITHELIUM; UTERINE CERVIX CARCINOMA IN SITU;

CERVICAL INTRAEPITHELIAL NEOPLASIA; FEMALE; HUMANS; IMAGE PROCESSING, COMPUTER-ASSISTED; MATHEMATICS; OBSERVER VARIATION; REPRODUCIBILITY OF RESULTS; STATISTICS, NONPARAMETRIC; UTERINE CERVICAL NEOPLASMS;

EID: 0033645558     PISSN: 00223417     EISSN: None     Source Type: Journal    
DOI: 10.1002/1096-9896(2000)9999:9999<::AID-PATH708>3.0.CO;2-I     Document Type: Article

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