Advances in digital quantification technique enhance discrimination between mild and advanced liver fibrosis in chronic hepatitis C

Liver International

Volumn 25, Issue 6, 2005, Pages 1142-1149

  Lazzarini, Amy L ^a   Levine, Robert A ^a   Ploutz Snyder, Robert J ^a   Sanderson, Schuyler O ^b,c  

^a STATE UNIVERSITY OF NEW YORK   (United States)

^b State University of New York Upstate Medical University: College of Medicine   (United States)

^c MAYO CLINIC COLLEGE OF MEDICINE   (United States)

Author keywords

Chronic hepatitis C; Collagen; Image analysis; Ishak score; Liver biopsy

Indexed keywords

ARTICLE; CHRONIC DISEASE; COMPUTER ASSISTED DIAGNOSIS; CONTROLLED STUDY; CORRELATION ANALYSIS; DIAGNOSTIC ACCURACY; DIAGNOSTIC IMAGING; DISEASE CLASSIFICATION; DISEASE COURSE; DISEASE SEVERITY; EARLY DIAGNOSIS; HEPATITIS C; HUMAN; HUMAN CELL; HUMAN TISSUE; IMAGE ANALYSIS; INTERMETHOD COMPARISON; LIVER BIOPSY; LIVER FIBROSIS; MAJOR CLINICAL STUDY; OBSERVER VARIATION; PATIENT MONITORING; QUANTITATIVE ANALYSIS; RECEIVER OPERATING CHARACTERISTIC; RELIABILITY; REPRODUCIBILITY; RETROSPECTIVE STUDY; SCORING SYSTEM;

AZO COMPOUNDS; BIOPSY, NEEDLE; COLORING AGENTS; EOSINE YELLOWISH-(YS); FIBROSIS; HEPATITIS C, CHRONIC; HUMANS; IMAGE PROCESSING, COMPUTER-ASSISTED; LIVER; LIVER CIRRHOSIS; METHYL GREEN; MICROSCOPY; OBSERVER VARIATION; ROC CURVE;

EID: 28944444789     PISSN: 14783223     EISSN: None     Source Type: Journal    
DOI: 10.1111/j.1478-3231.2005.01155.x     Document Type: Article

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