Fully automated geometric feature analysis in optical coherence tomography angiography for objective classification of diabetic retinopathy

Research article (Biomedical Optics Express, 2019) · cited 37× · AI/ML
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Fully automated geometric feature analysis in optical coherence tomography angiography for objective classification of diabetic retinopathy

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Fully automated geometric feature analysis in optical coherence tomography angiography for objective classification of diabetic retinopathy is a scholarly article[1].

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APA 4ort.xyz Knowledge Graph. (2026). Fully automated geometric feature analysis in optical coherence tomography angiography for objective classification of diabetic retinopathy. Retrieved May 24, 2026, from https://4ort.xyz/entity/fully-automated-geometric-feature-analysis-in-optical-coherence-tomography-angiography-for-objective-classification-of-d
MLA “Fully automated geometric feature analysis in optical coherence tomography angiography for objective classification of diabetic retinopathy.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/fully-automated-geometric-feature-analysis-in-optical-coherence-tomography-angiography-for-objective-classification-of-d.
BibTeX @misc{4ortxyz_fully-automated-geometric-feature-analysis-in-optical-coherence-tomography-angiography-for-objective-classification-of-d_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Fully automated geometric feature analysis in optical coherence tomography angiography for objective classification of diabetic retinopathy}}, year = {2026}, url = {https://4ort.xyz/entity/fully-automated-geometric-feature-analysis-in-optical-coherence-tomography-angiography-for-objective-classification-of-d}, note = {Accessed: 2026-05-24}}
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