Computerized diagnosis of Helicobacter pylori infection and associated gastric inflammation from endoscopic images by refined feature selection using a neural network

Endoscopy

Volumn 36, Issue 7, 2004, Pages 601-608

  Huang, C R ^a   Sheu, B S ^a   Chung, P C ^a   Yang, H B ^a,b  

^a NATIONAL CHENG KUNG UNIVERSITY   (Taiwan)

^b Ton Yen General Hospital   (Taiwan)

Author keywords

[No Author keywords available]

Indexed keywords

ARTICLE; ARTIFICIAL NEURAL NETWORK; ATROPHY; AUTOMATION; COMPUTER ASSISTED DIAGNOSIS; COMPUTER MODEL; CONTROLLED STUDY; CORRELATION ANALYSIS; DIAGNOSTIC ACCURACY; DIAGNOSTIC VALUE; DISEASE ASSOCIATION; DISEASE SEVERITY; DYSPEPSIA; GASTRITIS; GASTROINTESTINAL ENDOSCOPY; HELICOBACTER INFECTION; HELICOBACTER PYLORI; HISTOPATHOLOGY; HUMAN; HUMAN TISSUE; IMAGE ANALYSIS; INTESTINE METAPLASIA; MAJOR CLINICAL STUDY; PRECANCER; PREDICTION; PRIORITY JOURNAL; PROSPECTIVE STUDY; SENSITIVITY AND SPECIFICITY; STOMACH BIOPSY;

ADULT; BIOPSY, NEEDLE; DIAGNOSIS, COMPUTER-ASSISTED; DOUBLE-BLIND METHOD; FEMALE; GASTRITIS; GASTROSCOPY; HELICOBACTER INFECTIONS; HELICOBACTER PYLORI; HUMANS; MALE; NEURAL NETWORKS (COMPUTER); SENSITIVITY AND SPECIFICITY; STOMACH;

EID: 3242785763     PISSN: 0013726X     EISSN: None     Source Type: Journal    
DOI: 10.1055/s-2004-814519     Document Type: Article

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