Wavelet analysis enables system-independent texture analysis of optical coherence tomography images

Journal of Biomedical Optics

Volumn 14, Issue 4, 2009, Pages

  Lingley Papadopoulos, Colleen A ^a   Loew, Murray H ^a   Zara, Jason M ^a  

^a George Washington University   (United States)

Author keywords

bladder cancer; computer aided diagnosis; optical coherence tomography; system differences; texture analysis; wavelet analysis

Indexed keywords

AUTOMATIC RECOGNITION; BLADDER CANCERS; CENTRAL WAVELENGTH; CROSS VALIDATION; LEAVE-ONE-OUT; SENSITIVITY AND SPECIFICITY; SYSTEM DIFFERENCES; TEXTURE ANALYSIS; TISSUE CHARACTERIZATION;

ALGORITHMS; COMPUTER AIDED DIAGNOSIS; DISEASES; TEXTURES; TISSUE; TOMOGRAPHY; WAVELET ANALYSIS;

COMPUTER AIDED ANALYSIS;

ALGORITHM; ARTICLE; AUTOMATED PATTERN RECOGNITION; COMPUTER ASSISTED DIAGNOSIS; IMAGE ENHANCEMENT; METHODOLOGY; OPTICAL COHERENCE TOMOGRAPHY; REPRODUCIBILITY; SENSITIVITY AND SPECIFICITY; SIGNAL PROCESSING; THREE DIMENSIONAL IMAGING;

ALGORITHMS; IMAGE ENHANCEMENT; IMAGE INTERPRETATION, COMPUTER-ASSISTED; IMAGING, THREE-DIMENSIONAL; PATTERN RECOGNITION, AUTOMATED; REPRODUCIBILITY OF RESULTS; SENSITIVITY AND SPECIFICITY; SIGNAL PROCESSING, COMPUTER-ASSISTED; TOMOGRAPHY, OPTICAL COHERENCE;

EID: 73349128152     PISSN: 10833668     EISSN: 15602281     Source Type: Journal    
DOI: 10.1117/1.3171943     Document Type: Article

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