Automatic recovery of the optic nervehead geometry in optical coherence tomography

IEEE Transactions on Medical Imaging

Volumn 25, Issue 5, 2006, Pages 553-570

  Boyer, Kim L ^a,b   Herzog, Artemas ^a,b   Roberts, Cynthia ^c  

^a IEEE   (United States)

^b Ohio State University   (United States)

^c OHIO STATE UNIVERSITY   (United States)

Author keywords

Contour segmentation; Glaucoma; Gradient descent; Image segmentation; Markov models; Optic cup; Optic disk; Optic nervehead; Optical coherence tomography

Indexed keywords

CONTOUR SEGMENTATION; GLAUCOMA; MARKOV MODELS; OPTIC NERVEHEAD;

ALGORITHMS; COMPUTERIZED TOMOGRAPHY; DATA ACQUISITION; IMAGE ANALYSIS; MARKOV PROCESSES; MATHEMATICAL MODELS; TISSUE;

COHERENT LIGHT;

ALGORITHM; ARTICLE; ARTIFICIAL INTELLIGENCE; AUTOMATED PATTERN RECOGNITION; COMPUTER ASSISTED DIAGNOSIS; CYTOLOGY; EVALUATION; HUMAN; IMAGE ENHANCEMENT; IMAGE QUALITY; INFORMATION RETRIEVAL; INSTRUMENTATION; METHODOLOGY; OPTIC DISK; OPTICAL COHERENCE TOMOGRAPHY; REPRODUCIBILITY; SENSITIVITY AND SPECIFICITY; THREE DIMENSIONAL IMAGING;

ALGORITHMS; ARTIFICIAL INTELLIGENCE; HUMANS; IMAGE ENHANCEMENT; IMAGE INTERPRETATION, COMPUTER-ASSISTED; IMAGING, THREE-DIMENSIONAL; INFORMATION STORAGE AND RETRIEVAL; OPTIC DISK; PATTERN RECOGNITION, AUTOMATED; PHANTOMS, IMAGING; REPRODUCIBILITY OF RESULTS; SENSITIVITY AND SPECIFICITY; TOMOGRAPHY, OPTICAL COHERENCE;

EID: 33646426631     PISSN: 02780062     EISSN: None     Source Type: Journal    
DOI: 10.1109/TMI.2006.871417     Document Type: Article

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