Automated segmentation of retinal layers from optical coherence tomography images using geodesic distance

Research article (Pattern Recognition, 2017) · cited 29× · AI/ML
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Automated segmentation of retinal layers from optical coherence tomography images using geodesic distance

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Automated segmentation of retinal layers from optical coherence tomography images using geodesic distance is a scholarly article[1].

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APA 4ort.xyz Knowledge Graph. (2026). Automated segmentation of retinal layers from optical coherence tomography images using geodesic distance. Retrieved May 24, 2026, from https://4ort.xyz/entity/automated-segmentation-of-retinal-layers-from-optical-coherence-tomography-images-using-geodesic-distance
MLA “Automated segmentation of retinal layers from optical coherence tomography images using geodesic distance.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/automated-segmentation-of-retinal-layers-from-optical-coherence-tomography-images-using-geodesic-distance.
BibTeX @misc{4ortxyz_automated-segmentation-of-retinal-layers-from-optical-coherence-tomography-images-using-geodesic-distance_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Automated segmentation of retinal layers from optical coherence tomography images using geodesic distance}}, year = {2026}, url = {https://4ort.xyz/entity/automated-segmentation-of-retinal-layers-from-optical-coherence-tomography-images-using-geodesic-distance}, note = {Accessed: 2026-05-24}}
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