Automated layer segmentation of macular OCT images via graph-based SLIC superpixels and manifold ranking approach
Summary
Automated layer segmentation of macular OCT images via graph-based SLIC superpixels and manifold ranking approach is a scholarly article[1].
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Automated layer segmentation of macular OCT images via graph-based SLIC superpixels and manifold ranking approach's instance of is recorded as scholarly article[2].
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APA4ort.xyz Knowledge Graph. (2026). Automated layer segmentation of macular OCT images via graph-based SLIC superpixels and manifold ranking approach. Retrieved May 24, 2026, from https://4ort.xyz/entity/automated-layer-segmentation-of-macular-oct-images-via-graph-based-slic-superpixels-and-manifold-ranking-approach
MLA“Automated layer segmentation of macular OCT images via graph-based SLIC superpixels and manifold ranking approach.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/automated-layer-segmentation-of-macular-oct-images-via-graph-based-slic-superpixels-and-manifold-ranking-approach.
BibTeX@misc{4ortxyz_automated-layer-segmentation-of-macular-oct-images-via-graph-based-slic-superpixels-and-manifold-ranking-approach_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Automated layer segmentation of macular OCT images via graph-based SLIC superpixels and manifold ranking approach}}, year = {2026}, url = {https://4ort.xyz/entity/automated-layer-segmentation-of-macular-oct-images-via-graph-based-slic-superpixels-and-manifold-ranking-approach}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Automated layer segmentation of macular OCT images via graph-based SLIC superpixels and manifold ranking approach — https://4ort.xyz/entity/automated-layer-segmentation-of-macular-oct-images-via-graph-based-slic-superpixels-and-manifold-ranking-approach (retrieved 2026-05-24)
