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Feature extraction from the fundus images for the diagnosis of Diabetic Retinopathy
Research article (2015 International Conference on Emerging Research in Electronics, Computer Science and Technology (ICERECT), 2015) · cited 17× · AI/ML
Use these citations when quoting this entity in research, articles, AI prompts, or wherever provenance matters. We aggregate Wikidata + Wikipedia + authoritative open-data sources; the stitched, scored, cross-referenced view is what 4ort.xyz contributes.
APA4ort.xyz Knowledge Graph. (2026). Feature extraction from the fundus images for the diagnosis of Diabetic Retinopathy. Retrieved May 24, 2026, from https://4ort.xyz/entity/feature-extraction-from-the-fundus-images-for-the-diagnosis-of-diabetic-retinopathy
MLA“Feature extraction from the fundus images for the diagnosis of Diabetic Retinopathy.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/feature-extraction-from-the-fundus-images-for-the-diagnosis-of-diabetic-retinopathy.
BibTeX@misc{4ortxyz_feature-extraction-from-the-fundus-images-for-the-diagnosis-of-diabetic-retinopathy_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Feature extraction from the fundus images for the diagnosis of Diabetic Retinopathy}}, year = {2026}, url = {https://4ort.xyz/entity/feature-extraction-from-the-fundus-images-for-the-diagnosis-of-diabetic-retinopathy}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Feature extraction from the fundus images for the diagnosis of Diabetic Retinopathy — https://4ort.xyz/entity/feature-extraction-from-the-fundus-images-for-the-diagnosis-of-diabetic-retinopathy (retrieved 2026-05-24)
