Three-dimensional virtual colonoscopy for automatic polyps detection by artificial neural network approach: New tests on an enlarged cohort of polyps

Neurocomputing

Volumn 116, Issue , 2013, Pages 62-75

  Bevilacqua, Vitoantonio ^a  

^a POLITECNICO DI BARI   (Italy)

Author keywords

Colonic polyps detection; Computer aided diagnosis system; Image processing and segmentation; Supervised artificial neural network; Three dimensional virtual colonoscopy

Indexed keywords

ARTIFICIAL NEURAL NETWORK APPROACH; CHARACTERISTIC ANALYSIS; COLONIC POLYPS DETECTIONS; COMPUTED TOMOGRAPHY COLONOGRAPHY; COMPUTER AIDED DIAGNOSIS(CAD); COMPUTER-AIDED DIAGNOSIS SYSTEM; SUPERVISED ARTIFICIAL NEURAL NETWORKS; VIRTUAL COLONOSCOPY;

COMPUTER AIDED DIAGNOSIS; DATA FLOW ANALYSIS; ENDOSCOPY; FEEDFORWARD NEURAL NETWORKS; IMAGE PROCESSING; RADIOLOGY; STATISTICAL TESTS; THREE DIMENSIONAL;

COMPUTERIZED TOMOGRAPHY;

ARTICLE; ARTIFICIAL NEURAL NETWORK; AUTOMATION; BACK PROPAGATION; CLASSIFICATION ALGORITHM; CLINICAL ARTICLE; COLON POLYP; COMPUTED TOMOGRAPHIC COLONOGRAPHY; COMPUTER ASSISTED DIAGNOSIS; COMPUTER ASSISTED TOMOGRAPHY; DIAGNOSTIC ACCURACY; DIAGNOSTIC IMAGING; DIAGNOSTIC TEST ACCURACY STUDY; FALSE POSITIVE RESULT; HUMAN; IMAGE ANALYSIS; IMAGE PROCESSING; IMAGE QUALITY; INSTRUMENT VALIDATION; INTERMETHOD COMPARISON; PRIORITY JOURNAL; PROCESS DEVELOPMENT; SENSITIVITY AND SPECIFICITY; THREE DIMENSIONAL IMAGING; TUMOR VOLUME;

EID: 84878521814     PISSN: 09252312     EISSN: 18728286     Source Type: Journal    
DOI: 10.1016/j.neucom.2012.03.026     Document Type: Article

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