Massive-training artificial neural network (MTANN) for reduction of false positives in computer-aided detection of polyps: Suppression of rectal tubes

Medical Physics

Volumn 33, Issue 10, 2006, Pages 3814-3824

  Suzuki, Kenji ^a   Yoshida, Hiroyuki ^b   Näppi, Janne ^b   Dachman, Abraham H ^a  

^a UNIVERSITY OF CHICAGO   (United States)

^b HARVARD MEDICAL SCHOOL   (United States)

Author keywords

Artificial neural network; Colon cancer; Computer aided detection; CT colonography; Pattern recognition; Virtual colonoscopy

Indexed keywords

COMPUTER AIDED DIAGNOSIS; COMPUTER AIDED NETWORK ANALYSIS; COMPUTER NETWORKS; COMPUTERIZED TOMOGRAPHY; ENDOSCOPY; PATTERN RECOGNITION; TEXTURES; VOLUMETRIC ANALYSIS;

BAYESIAN NEURAL NETWORKS; COLON CANCER; COMPUTER AIDED DETECTION; CT COLONOGRAPHY; FALSE POSITIVE DETECTION; OPTICAL COLONOSCOPY; THREEDIMENSIONAL (3-D); VIRTUAL COLONOSCOPY;

NEURAL NETWORKS;

ARTICLE; ARTIFICIAL NEURAL NETWORK; BAYES THEOREM; CLINICAL ARTICLE; COLONOSCOPY; COMPUTER ASSISTED DIAGNOSIS; CONTROLLED STUDY; DATA BASE; DIAGNOSTIC ACCURACY; HUMAN; NORMAL DISTRIBUTION; PATIENT POSITIONING; PRIORITY JOURNAL; RECTUM POLYP; SCORING SYSTEM; SENSITIVITY AND SPECIFICITY; THREE DIMENSIONAL IMAGING;

EID: 33749391616     PISSN: 00942405     EISSN: None     Source Type: Journal    
DOI: 10.1118/1.2349839     Document Type: Article

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