Automated choroidal neovascularization detection algorithm for optical coherence tomography angiography

Biomedical Optics Express

Volumn 6, Issue 9, 2015, Pages 3564-3575

  Liu, Li ^a,b   Gao, Simon S ^a   Bailey, Steven T ^a   Huang, David ^a   Li, Dengwang ^b   Jia, Yali ^a  

^a OREGON HEALTH AND SCIENCE UNIVERSITY   (United States)

^b SHANDONG NORMAL UNIVERSITY   (China)

Author keywords

[No Author keywords available]

Indexed keywords

ANGIOGRAPHY; OPTICAL TOMOGRAPHY; TOMOGRAPHY;

AGE-RELATED MACULAR DEGENERATION; AREA DETECTION; AUTOMATED ALGORITHMS; CHOROIDAL NEOVASCULARIZATION; DE-NOISING; DETECTION ALGORITHM; QUANTITATIVE EVALUATION; SALIENCY DETECTION;

ALGORITHMS;

AGE RELATED MACULAR DEGENERATION; ALGORITHM; ARTICLE; CLINICAL ARTICLE; DISEASE ASSESSMENT; FLUORESCENCE ANGIOGRAPHY; HUMAN; IMAGE PROCESSING; MATHEMATICAL PARAMETERS; OPTICAL COHERENCE TOMOGRAPHY; PATTERN RECOGNITION; RETINA ANGIOGRAPHY; RETINA DETACHMENT; SUBRETINAL NEOVASCULARIZATION; VIRUS IDENTIFICATION;

EID: 84946044466     PISSN: None     EISSN: 21567085     Source Type: Journal    
DOI: 10.1364/BOE.6.003564     Document Type: Article

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