A comprehensive computer-aided polyp detection system for colonoscopy videos

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Volumn 9123, Issue , 2015, Pages 327-338

  Tajbakhsh, Nima ^a   Gurudu, Suryakanth R ^b   Liang, Jianming ^a  

^a ARIZONA STATE UNIVERSITY   (United States)

^b MAYO CLINIC   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

MEDICAL IMAGING; NEURAL NETWORKS;

CANDIDATE GENERATION; COMPUTER-AIDED DETECTION; CONVOLUTIONAL NEURAL NETWORK; DISCRIMINATIVE POWER; FALSE-POSITIVE REDUCTION; LIMITED SENSITIVITY; POLYP DETECTION SYSTEMS; TEMPORAL INFORMATION;

CLASSIFICATION (OF INFORMATION);

ALGORITHM; ARTIFICIAL INTELLIGENCE; AUTOMATED PATTERN RECOGNITION; CAPSULE ENDOSCOPY; COLON POLYP; COLONOSCOPY; COMPUTER ASSISTED DIAGNOSIS; HUMAN; IMAGE ENHANCEMENT; PATHOLOGY; PROCEDURES; REPRODUCIBILITY; SENSITIVITY AND SPECIFICITY;

ALGORITHMS; ARTIFICIAL INTELLIGENCE; CAPSULE ENDOSCOPY; COLONIC POLYPS; COLONOSCOPY; HUMANS; IMAGE ENHANCEMENT; IMAGE INTERPRETATION, COMPUTER-ASSISTED; PATTERN RECOGNITION, AUTOMATED; REPRODUCIBILITY OF RESULTS; SENSITIVITY AND SPECIFICITY;

EID: 84983655863     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-319-19992-4_25     Document Type: Conference Paper

References (13)

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