A multisurface graph-based approach utilizes the in-region and disc-boundary cost images to segment the boundaries of optic disc and cup under feasibility ...
Abstract—In this work, a multimodal approach is proposed to use the complementary information from fundus photographs and spectral domain optical coherence ...
(from SD-OCT volumes and color fundus photographs) machine-learning graph-based approaches for automated segmentation of the optic disc and cup. Our results ...
A multimodal machine-learning graph-based approach for segmenting glaucomatous optic nerve head structures from SD-OCT volumes and fundus photographs.
Many existing approaches exist for segmenting the optic disc and cup from a single imaging modality. The purpose of this work is to determine the extent ...
Feb 10, 2016 · In this work, a multimodal pixel-classification approach for the segmentation of the optic disc and cup within fundus photographs and SD-OCT ...
Upon the location of optic disc center is known, our segmentation task amounts to searching regions of optic disc and cup which boundaries are circle-like, ...
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In this paper, we presented a machine-learning graph-based approach for automated segmentation of Bruch's membrane opening from SD-OCT volumes.
Nov 23, 2016 · In this paper, we propose a feature-based registration method for registering fundus photographs and SD-OCT projection images that benefits from ...
For automatic segmentation of optic disc and cup from color fundus photograph, we describe a fairly general energy function that can naturally fit into a�...