Automated layer segmentation of macular OCT images via graph-based SLIC superpixels and manifold ranking approach

Computerized Medical Imaging and Graphics

Volumn 55, Issue , 2017, Pages 42-53

  Gao, Zhijun ^a,b   Bu, Wei ^a   Zheng, Yalin ^c   Wu, Xiangqian ^a  

^a HARBIN INSTITUTE OF TECHNOLOGY   (China)

^b HEILONGJIANG UNIVERSITY OF SCIENCE AND TECHNOLOGY   (China)

^c UNIVERSITY OF LIVERPOOL   (United Kingdom)

Author keywords

Graph; Manifold ranking; Optical coherence tomography (OCT); Segmentation; SLIC superpixels

Indexed keywords

BLOOD VESSELS; ERRORS; GRAPH THEORY; GRAPHIC METHODS; ITERATIVE METHODS; OPHTHALMOLOGY; OPTICAL TOMOGRAPHY; PIXELS; TOMOGRAPHY;

CONNECTED COMPONENT; GRAPH; ITERATIVE CLUSTERING; LAYER SEGMENTATION; MANIFOLD RANKING; SEGMENTATION ALGORITHMS; SEGMENTATION METHODS; SUPERPIXELS;

IMAGE SEGMENTATION;

ALGORITHM; ARTICLE; ARTIFACT; CURVE FITTING; DIAGNOSTIC ACCURACY; DIAGNOSTIC ERROR; IMAGE PROCESSING; IMAGE SEGMENTATION; NERVE CELL; OPTICAL COHERENCE TOMOGRAPHY; PRIORITY JOURNAL; RETINA IMAGE; RETINAL THICKNESS; SIMPLE LINEAR ITERATIVE CLUSTERING; AUTOMATED PATTERN RECOGNITION; DIAGNOSTIC IMAGING; HUMAN; PROCEDURES; RETINA; THREE DIMENSIONAL IMAGING; VALIDATION STUDY;

ALGORITHMS; ARTIFACTS; HUMANS; IMAGING, THREE-DIMENSIONAL; PATTERN RECOGNITION, AUTOMATED; RETINA; TOMOGRAPHY, OPTICAL COHERENCE;

EID: 84995579285     PISSN: 08956111     EISSN: 18790771     Source Type: Journal    
DOI: 10.1016/j.compmedimag.2016.07.006     Document Type: Article

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