Image-based discriminating morphological features for gastric atrophy assessment: A step to go further

Pathology Research and Practice

Volumn 204, Issue 4, 2008, Pages 235-240

  Matalka, I I ^a   Al Omari, F A ^b   Al Jarrah, M A ^b   Obeidat, F N ^c   Kanaan, F M ^a  

^a JORDAN UNIVERSITY OF SCIENCE AND TECHNOLOGY   (Jordan)

^b YARMOUK UNIVERSITY   (Jordan)

^c UNIVERSITY OF JORDAN   (Jordan)

Author keywords

Gastric atrophy; Gastritis grading; K Means classification; Morphometry; Updated Sydney System

Indexed keywords

ACCURACY; ARTICLE; AUTOMATION; CLINICAL FEATURE; CLUSTER ANALYSIS; CONSENSUS; CONTROLLED STUDY; DISEASE CLASSIFICATION; DISEASE SEVERITY; HISTOPATHOLOGY; HUMAN; HUMAN TISSUE; IMAGE ANALYSIS; QUANTITATIVE ANALYSIS; REPRODUCIBILITY; STOMACH ATROPHY; STOMACH BIOPSY; STOMACH DISEASE; VALIDATION PROCESS; VISUAL ANALOG SCALE;

ATROPHY; AUTOMATION; CLUSTER ANALYSIS; GASTRIC MUCOSA; HUMANS; IMAGE INTERPRETATION, COMPUTER-ASSISTED; OBSERVER VARIATION; PREDICTIVE VALUE OF TESTS; PYLORIC ANTRUM; REPRODUCIBILITY OF RESULTS; SEVERITY OF ILLNESS INDEX; SIGNAL PROCESSING, COMPUTER-ASSISTED; STOMACH DISEASES;

EID: 40849087616     PISSN: 03440338     EISSN: 16180631     Source Type: Journal    
DOI: 10.1016/j.prp.2007.12.009     Document Type: Article

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