Computer recognition of cancer in the urinary bladder using optical coherence tomography and texture analysis

Journal of Biomedical Optics

Volumn 13, Issue 2, 2008, Pages

  Lingley Papadopoulos, Colleen A ^a   Loew, Murray H ^a   Manyak, Michael J ^b   Zara, Jason M ^a  

^a George Washington University   (United States)

^b Cytogen Corporation   (United States)

Author keywords

bladder cancer; computer aided diagnosis; optical coherence tomography; texture analysis

Indexed keywords

AUTOMATED ALGORITHMS; BLADDER CANCERS; BLADDER TISSUE; CLINICAL UTILITY; ENDOSCOPIC BIOPSY; FALSE POSITIVE; IN-SITU; NORMAL TISSUE; TEXTURE ANALYSIS; TISSUE SURFACE; TUMOR INVASION; URINARY BLADDER;

ALGORITHMS; BIOPSY; COMPUTER AIDED DIAGNOSIS; TEXTURES; TISSUE; TOMOGRAPHY;

DISEASES;

ALGORITHM; ARTICLE; ARTIFICIAL INTELLIGENCE; AUTOMATED PATTERN RECOGNITION; BLADDER TUMOR; COMPUTER ASSISTED DIAGNOSIS; HUMAN; IMAGE ENHANCEMENT; METHODOLOGY; OPTICAL COHERENCE TOMOGRAPHY; PATHOLOGY; REPRODUCIBILITY; SENSITIVITY AND SPECIFICITY;

ALGORITHMS; ARTIFICIAL INTELLIGENCE; HUMANS; IMAGE ENHANCEMENT; IMAGE INTERPRETATION, COMPUTER-ASSISTED; PATTERN RECOGNITION, AUTOMATED; REPRODUCIBILITY OF RESULTS; SENSITIVITY AND SPECIFICITY; TOMOGRAPHY, OPTICAL COHERENCE; URINARY BLADDER NEOPLASMS;

EID: 49649106072     PISSN: 10833668     EISSN: 15602281     Source Type: Journal    
DOI: 10.1117/1.2904987     Document Type: Article

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