Method for optical coherence tomography image classification using local features and earth mover's distance

Journal of Biomedical Optics

Volumn 14, Issue 5, 2009, Pages

  Sun, Yankui ^a   Lei, Ming ^a  

^a TSINGHUA UNIVERSITY   (China)

Author keywords

Earth mover's distance; Image classification; Local features; Optical coherence tomography; Support vector machine)

Indexed keywords

AUTOMATED CLASSIFICATION; AUTOMATED METHODS; BIOMEDICAL RESEARCH; CLASSIFICATION ACCURACY; CROSS-SECTIONAL IMAGING; DISEASE DIAGNOSIS; EARTH MOVER'S DISTANCE; HIGH RESOLUTION; IMAGE SETS; IMAGING DEVICE; IMAGING METHOD; LOCAL FEATURE; MATERIAL EVALUATION; NON-HOMOGENEOUS; NORMAL SKIN; NOVEL METHODS; SUPPORT VECTOR; SVM(SUPPORT VECTOR MACHINE);

DIAGNOSIS; IMAGE ANALYSIS; IMAGE CLASSIFICATION; SUPPORT VECTOR MACHINES; TISSUE; TOMOGRAPHY;

CLASSIFICATION (OF INFORMATION);

ALGORITHM; ARTICLE; ARTIFICIAL INTELLIGENCE; AUTOMATED PATTERN RECOGNITION; COMPUTER ASSISTED DIAGNOSIS; EPILUMINESCENCE MICROSCOPY; HUMAN; IMAGE ENHANCEMENT; METHODOLOGY; NEVUS FLAMMEUS; OPTICAL COHERENCE TOMOGRAPHY; PATHOLOGY; REPRODUCIBILITY; SENSITIVITY AND SPECIFICITY; SKIN;

ALGORITHMS; ARTIFICIAL INTELLIGENCE; DERMOSCOPY; HUMANS; IMAGE ENHANCEMENT; IMAGE INTERPRETATION, COMPUTER-ASSISTED; PATTERN RECOGNITION, AUTOMATED; PORT-WINE STAIN; REPRODUCIBILITY OF RESULTS; SENSITIVITY AND SPECIFICITY; SKIN; TOMOGRAPHY, OPTICAL COHERENCE;

EID: 74049086794     PISSN: 10833668     EISSN: 15602281     Source Type: Journal    
DOI: 10.1117/1.3251059     Document Type: Article

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