Automated geographic atrophy segmentation for SD-OCT images using region-based C-V model via local similarity factor

Biomedical Optics Express

Volumn 7, Issue 2, 2016, Pages 581-600

  Niu, Sijie ^a,b,c   de Sisternes, Luis ^b,c   Chen, Qiang ^a,c   Leng, Theodore ^c   Rubin, Daniel L ^b,c  

^a NANJING UNIVERSITY OF SCIENCE AND TECHNOLOGY   (China)

^b STANFORD UNIVERSITY   (United States)

^c STANFORD UNIVERSITY SCHOOL OF MEDICINE   (United States)

Author keywords

Image processing; Ophthalmology; Optical coherence tomography

Indexed keywords

AUTOMATION; GENETIC ALGORITHMS; IMAGE PROCESSING; ITERATIVE METHODS; OPHTHALMOLOGY; OPTICAL DATA PROCESSING; OPTICAL TOMOGRAPHY;

AGE-RELATED MACULAR DEGENERATION; AUTOMATED ALGORITHMS; AUTOMATED SEGMENTATION; COMMERCIAL SOFTWARE; INTENSITY PROFILES; ITERATIVE THRESHOLD; LOCAL SIMILARITY; MANUAL SEGMENTATION;

IMAGE SEGMENTATION;

ALGORITHM; ARTICLE; AUTOMATED SEGMENTATION ALGORITHM; B SCAN; BRUCH MEMBRANE; CANDIDATE REGION EXTRACTION; COMPARATIVE STUDY; CONTROLLED STUDY; GEOGRAPHIC ATROPHY; HUMAN; IMAGE ANALYSIS; LOCAL SIMILARITY FACTOR; MAJOR CLINICAL STUDY; MATHEMATICAL PARAMETERS; MATHEMATICAL PHENOMENA; MEASUREMENT ACCURACY; PARAMETER ANALYSIS; RADIOLOGICAL PARAMETERS; REGION BASED C V MODEL; SIGNAL NOISE RATIO; SPECTRAL DOMAIN OPTICAL COHERENCE TOMOGRAPHY;

EID: 84961786425     PISSN: None     EISSN: 21567085     Source Type: Journal    
DOI: 10.1364/BOE.7.000581     Document Type: Article

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