Kernel regression based segmentation of optical coherence tomography images with diabetic macular edema

Biomedical Optics Express

Volumn 6, Issue 4, 2015, Pages 1172-1194

  Chiu, Stephanie J ^a   Allingham, Michael J ^b   Mettu, Priyatham S ^b   Cousins, Scott W ^b   Izatt, Joseph A ^a,b   Farsiu, Sina ^a,b  

^a USA   (United States)

^b DUKE UNIVERSITY SCHOOL OF MEDICINE   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

ALGORITHMS; COHERENT LIGHT; DYNAMIC PROGRAMMING; GRAPH THEORY; OPHTHALMOLOGY; OPTICAL TOMOGRAPHY; TOMOGRAPHY;

AUTOMATIC ALGORITHMS; CLASSIFICATION METHODS; DICE COEFFICIENT; KERNEL REGRESSION; MANUAL SEGMENTATION; REAL-WORLD IMAGE; SEGMENTATION METHODS; SPECTRAL DOMAIN OPTICAL COHERENCE TOMOGRAPHIES;

IMAGE SEGMENTATION;

ALGORITHM; ARTICLE; CONCEPTUAL FRAMEWORK; DIABETIC MACULAR EDEMA; HEALTH CARE PLANNING; IMAGE PROCESSING; KERNEL METHOD; KNOWLEDGE; OPTICAL COHERENCE TOMOGRAPHY; PERFORMANCE;

EID: 84942617306     PISSN: None     EISSN: 21567085     Source Type: Journal    
DOI: 10.1364/BOE.6.001172     Document Type: Article

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