Automated location of dysplastic fields in colorectal histology using image texture analysis

Journal of Pathology

Volumn 182, Issue 1, 1997, Pages 68-75

  Hamilton, Peter W ^a   Bartels, Peter H ^b   Thompson, Deborah ^b   Anderson, Neil H ^c   Montironi, Rodolfo ^d   Sloan, James M ^a  

^a QUEEN'S UNIVERSITY BELFAST   (United Kingdom)

^b UNIVERSITY OF ARIZONA   (United States)

^c ROYAL VICTORIA HOSPITAL   (United Kingdom)

^d UNIVERSITÀ POLITECNICA DELLE MARCHE   (Italy)

Author keywords

automation; colon; histopathology; image analysis; machine vision; quantitative pathology

Indexed keywords

ARTICLE; AUTOMATION; CANCER CLASSIFICATION; COLORECTAL CANCER; DECISION MAKING; EXPERT SYSTEM; HISTOPATHOLOGY; HUMAN; HUMAN CELL; HUMAN TISSUE; IMAGE ANALYSIS; PRIORITY JOURNAL; QUANTITATIVE DIAGNOSIS;

ADENOMATOUS POLYPS; COLORECTAL NEOPLASMS; HUMANS; IMAGE PROCESSING, COMPUTER-ASSISTED; INTESTINAL MUCOSA; SENSITIVITY AND SPECIFICITY;

EID: 0030975761     PISSN: 00223417     EISSN: None     Source Type: Journal    
DOI: 10.1002/(SICI)1096-9896(199705)182:1<68::AID-PATH811>3.0.CO;2-N     Document Type: Article

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