Adaptation of a support vector machine algorithm for segmentation and visualization of retinal structures in volumetric optical coherence tomography data sets

Journal of Biomedical Optics

Volumn 12, Issue 4, 2007, Pages

  Zawadzki, Robert J ^a   Fuller, Alfred R ^b   Wiley, David F ^b   Hamann, Bernd ^b   Choi, Stacey S ^a   Werner, John S ^a  

^a UNIVERSITY OF CALIFORNIA   (United States)

^b University of California Davis   (United States)

Author keywords

Ophthalmology; Optical coherence tomography; Optical diagnostics for medicine; Pattern recognition and feature extraction; Support vector machine; Volume visualization

Indexed keywords

ALGORITHM; ARTICLE; ARTIFICIAL INTELLIGENCE; AUTOMATED PATTERN RECOGNITION; COMPUTER ASSISTED DIAGNOSIS; CYTOLOGY; EVALUATION; HUMAN; IMAGE ENHANCEMENT; METHODOLOGY; OPTICAL COHERENCE TOMOGRAPHY; REPRODUCIBILITY; RETINA; RETINOSCOPY; SENSITIVITY AND SPECIFICITY; THREE DIMENSIONAL IMAGING;

ALGORITHMS; ARTIFICIAL INTELLIGENCE; HUMANS; IMAGE ENHANCEMENT; IMAGE INTERPRETATION, COMPUTER-ASSISTED; IMAGING, THREE-DIMENSIONAL; PATTERN RECOGNITION, AUTOMATED; REPRODUCIBILITY OF RESULTS; RETINA; RETINOSCOPY; SENSITIVITY AND SPECIFICITY; TOMOGRAPHY, OPTICAL COHERENCE;

FEATURE EXTRACTION; IMAGE SEGMENTATION; MEDICAL IMAGING; OPHTHALMOLOGY; PATTERN RECOGNITION SYSTEMS; SUPPORT VECTOR MACHINES; VISUALIZATION;

RETINAL STRUCTURES; VOLUME VISUALIZATION;

OPTICAL TOMOGRAPHY;

EID: 35948985554     PISSN: 10833668     EISSN: 15602281     Source Type: Journal    
DOI: 10.1117/1.2772658     Document Type: Article

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