Home ›
Entities
› academia
› Accuracy of Diabetic Retinopathy Staging with a Deep Convolutional Neural Network Using Ultra-Wide-Field Fundus Ophthalmoscopy and Optical Coherence Tomography Angiography
Accuracy of Diabetic Retinopathy Staging with a Deep Convolutional Neural Network Using Ultra-Wide-Field Fundus Ophthalmoscopy and Optical Coherence Tomography Angiography
Research article (Journal of Ophthalmology, 2021) · cited 17× · AI/ML
Accuracy of Diabetic Retinopathy Staging with a Deep Convolutional Neural Network Using Ultra-Wide-Field Fundus Ophthalmoscopy and Optical Coherence Tomography Angiography
Summary
Accuracy of Diabetic Retinopathy Staging with a Deep Convolutional Neural Network Using Ultra-Wide-Field Fundus Ophthalmoscopy and Optical Coherence Tomography Angiography is a scholarly article[1].
Key Facts
Accuracy of Diabetic Retinopathy Staging with a Deep Convolutional Neural Network Using Ultra-Wide-Field Fundus Ophthalmoscopy and Optical Coherence Tomography Angiography's instance of is recorded as scholarly article[2].
References
Programmatic citations — every numbered marker resolves to a verifiable graph row below.
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). Accuracy of Diabetic Retinopathy Staging with a Deep Convolutional Neural Network Using Ultra-Wide-Field Fundus Ophthalmoscopy and Optical Coherence Tomography Angiography. Retrieved May 24, 2026, from https://4ort.xyz/entity/accuracy-of-diabetic-retinopathy-staging-with-a-deep-convolutional-neural-network-using-ultra-wide-field-fundus-ophthalm
MLA“Accuracy of Diabetic Retinopathy Staging with a Deep Convolutional Neural Network Using Ultra-Wide-Field Fundus Ophthalmoscopy and Optical Coherence Tomography Angiography.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/accuracy-of-diabetic-retinopathy-staging-with-a-deep-convolutional-neural-network-using-ultra-wide-field-fundus-ophthalm.
BibTeX@misc{4ortxyz_accuracy-of-diabetic-retinopathy-staging-with-a-deep-convolutional-neural-network-using-ultra-wide-field-fundus-ophthalm_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Accuracy of Diabetic Retinopathy Staging with a Deep Convolutional Neural Network Using Ultra-Wide-Field Fundus Ophthalmoscopy and Optical Coherence Tomography Angiography}}, year = {2026}, url = {https://4ort.xyz/entity/accuracy-of-diabetic-retinopathy-staging-with-a-deep-convolutional-neural-network-using-ultra-wide-field-fundus-ophthalm}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Accuracy of Diabetic Retinopathy Staging with a Deep Convolutional Neural Network Using Ultra-Wide-Field Fundus Ophthalmoscopy and Optical Coherence Tomography Angiography — https://4ort.xyz/entity/accuracy-of-diabetic-retinopathy-staging-with-a-deep-convolutional-neural-network-using-ultra-wide-field-fundus-ophthalm (retrieved 2026-05-24)
