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Retinal Image Analysis Using Curvelet Transform and Multistructure Elements Morphology by Reconstruction
TLDR
We proposed a new algorithm to detect the retinal blood vessels effectively. Expand
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A machine‐learning graph‐based approach for 3D segmentation of Bruch’s membrane opening from glaucomatous SD‐OCT volumes
TLDR
We present a machine learning graph‐based approach for true 3D segmentation of Bruch’s membrane opening in 3D from glaucomatous SD‐OCT volumes. Expand
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Automated 3D Segmentation of Multiple Surfaces with a Shared Hole: Segmentation of the Neural Canal Opening in SD-OCT Volumes
TLDR
We present a graph-theoretic approach for segmenting multiple surfaces with a shared hole. Expand
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Multimodal segmentation of optic disc and cup from stereo fundus and SD-OCT images
TLDR
A multimodal pixel-classification approach for the segmentation of the optic disc and cup within fundus photographs and SD-OCT volumes is presented. Expand
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Multimodal registration of SD-OCT volumes and fundus photographs using histograms of oriented gradients.
TLDR
We propose a feature-based registration method for registering fundus photographs and SD-OCT projection images that benefits from vasculature structural information without requiring blood vessel segmentation. Expand
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Automated 3D region-based volumetric estimation of optic disc swelling in papilledema using spectral-domain optical coherence tomography
The six-stage Frisén scale is a qualitative and subjective method for assessing papilledema (optic disc swelling due to raised intracranial pressure) using fundus photographs. The recent introductionExpand
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A multimodal machine-learning graph-based approach for segmenting glaucomatous optic nerve head structures from SD-OCT volumes and fundus photographs
TLDR
We propose a multimodal approach for segmenting the optic disc/cup in both fundus and SD-OCT images using a combined machine-learning and graph-based approach. Expand
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Multimodal Segmentation of Optic Disc and Cup From SD-OCT and Color Fundus Photographs Using a Machine-Learning Graph-Based Approach
TLDR
In this work, a multimodal approach is proposed to use the complementary information from fundus photographs and spectral domain optical coherence tomography (SD-OCT) volumes in order to segment the optic disc and cup. Expand
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Graph-based optimal multi-surface segmentation with a star-shaped prior: Application to the segmentation of the optic disc and cup
TLDR
A novel graph-based optimal segmentation method which can simultaneously segment multiple star-shaped surfaces is presented in this paper. Expand
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Incorporation of gradient vector flow field in a multimodal graph-theoretic approach for segmenting the internal limiting membrane from glaucomatous optic nerve head-centered SD-OCT volumes
TLDR
We propose a multimodal multiresolution graph-based method to precisely segment the ILM surface within ONH-centered spectral-domain optical coherence tomography (SD-OCT) volumes. Expand
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