Automatic segmentation of microcystic macular edema in OCT

Biomedical Optics Express

Volumn 6, Issue 1, 2015, Pages 155-169

  Lang, Andrew ^a   Carass, Aaron ^a   Swingle, Emily K ^b   Al Louzi, Omar ^c   Bhargava, Pavan ^c   Saidha, Shiv ^c   Ying, Howard S ^d   Calabresi, Peter A ^c   Prince, Jerry L ^a  

^a Johns Hopkins University   (United States)

^b The Ohio State University   (United States)

^c JOHNS HOPKINS UNIVERSITY SCHOOL OF MEDICINE   (United States)

^d JOHNS HOPKINS UNIVERSITY   (United States)

Author keywords

(100.0100) Image processing; (170.4470) Ophthalmology; (170.4500) Optical coherence tomography

Indexed keywords

DECISION TREES; OPTICAL DATA PROCESSING; TOMOGRAPHY;

AUTOMATIC SEGMENTATIONS; EVALUATION STRATEGIES; INNER NUCLEAR LAYERS; INTENSITY INFORMATION; MULTIPLE SCLEROSIS; RANDOM FOREST CLASSIFIER; SEGMENTATION METHODS; SPATIAL FEATURES;

OPTICAL TOMOGRAPHY;

ALGORITHM; ARTICLE; B SCAN; CLINICAL ARTICLE; CONTROLLED STUDY; CORRELATION COEFFICIENT; DIAGNOSTIC ACCURACY; HUMAN; MACULAR EDEMA; MICROCYSTIC MACULAR EDEMA; OPTICAL COHERENCE TOMOGRAPHY; PSEUDOCYST; RANDOM FOREST; SIGNAL NOISE RATIO;

CYSTOIDEA;

EID: 84942374368     PISSN: None     EISSN: 21567085     Source Type: Journal    
DOI: 10.1364/BOE.6.000155     Document Type: Article

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