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- W2785674676 abstract "Optic nerve head (ONH) is a crucial region for glaucoma detection and tracking based on spectral domain optical coherence tomography (SD-OCT) images. In this region, the existence of a hole structure makes retinal layer segmentation and analysis very challenging. To improve retinal layer segmentation, we propose a 3D method for ONH centered SD-OCT image segmentation, which is based on a modified graph search algorithm with a shared-hole and locally adaptive constraints. With the proposed method, both the optic disc boundary and nine retinal surfaces can be accurately segmented in SD-OCT images. An overall mean unsigned border positioning error of 7.27 ± 5.40 µm was achieved for layer segmentation, and a mean Dice coefficient of 0.925 ± 0.03 was achieved for optic disc region detection." @default.
- W2785674676 created "2018-02-23" @default.
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- W2785674676 date "2018-02-02" @default.
- W2785674676 modified "2023-10-16" @default.
- W2785674676 title "Shared-hole graph search with adaptive constraints for 3D optic nerve head optical coherence tomography image segmentation" @default.
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- W2785674676 doi "https://doi.org/10.1364/boe.9.000962" @default.
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