Segmentation of trabeculated structures using an anisotropic markov random field: Application to the study of the optic nerve head in glaucoma

IEEE Transactions on Medical Imaging

Volumn 25, Issue 3, 2006, Pages 245-255

  Grau, Vicente ^a,b   Downs, J Crawford ^a,c   Burgoyne, Claude F ^a,c  

^a LSU EYE CENTER   (United States)

^b UNIVERSITY OF OXFORD   (United Kingdom)

^c Tulane University   (United States)

Author keywords

Expectation maximization algorithm; Hidden Markov models; Image segmentation; Optic nerve head

Indexed keywords

ALGORITHMS; ANISOTROPY; DATA ACQUISITION; IMAGE SEGMENTATION; IMPLANTS (SURGICAL); MARKOV PROCESSES; MATHEMATICAL MODELS; NEUROLOGY;

EXPECTATION-MAXIMIZATION ALGORITHM; GLAUCOMA; HIDDEN MARKOV MODELS; INTRAOCULAR PRESSURE (IOP); OPTIC NERVE HEAD (ONH);

MEDICAL IMAGING;

ALGORITHM; ANIMAL; ANISOTROPY; ARTICLE; ARTIFICIAL INTELLIGENCE; AUTOMATED PATTERN RECOGNITION; COMPUTER ASSISTED DIAGNOSIS; EVALUATION; GLAUCOMA; HAPLORHINI; IMAGE ENHANCEMENT; METHODOLOGY; OPTIC DISK; PATHOLOGY; PROBABILITY; REPRODUCIBILITY; SENSITIVITY AND SPECIFICITY; THREE DIMENSIONAL IMAGING;

ALGORITHMS; ANIMALS; ANISOTROPY; ARTIFICIAL INTELLIGENCE; GLAUCOMA; HAPLORHINI; IMAGE ENHANCEMENT; IMAGE INTERPRETATION, COMPUTER-ASSISTED; IMAGING, THREE-DIMENSIONAL; MARKOV CHAINS; OPTIC DISK; PATTERN RECOGNITION, AUTOMATED; REPRODUCIBILITY OF RESULTS; SENSITIVITY AND SPECIFICITY;

EID: 33644618547     PISSN: 02780062     EISSN: None     Source Type: Journal    
DOI: 10.1109/TMI.2005.862743     Document Type: Article

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