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Effective blood vessels reconstruction methodology for early detection and classification of diabetic retinopathy using OCTA images by artificial neural network
Research article (Informatics in Medicine Unlocked, 2020) · cited 34× · AI/ML
Effective blood vessels reconstruction methodology for early detection and classification of diabetic retinopathy using OCTA images by artificial neural network
Summary
Effective blood vessels reconstruction methodology for early detection and classification of diabetic retinopathy using OCTA images by artificial neural network is a scholarly article[1].
Key Facts
Effective blood vessels reconstruction methodology for early detection and classification of diabetic retinopathy using OCTA images by artificial neural network's instance of is recorded as scholarly article[2].
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APA4ort.xyz Knowledge Graph. (2026). Effective blood vessels reconstruction methodology for early detection and classification of diabetic retinopathy using OCTA images by artificial neural network. Retrieved May 24, 2026, from https://4ort.xyz/entity/effective-blood-vessels-reconstruction-methodology-for-early-detection-and-classification-of-diabetic-retinopathy-using-
MLA“Effective blood vessels reconstruction methodology for early detection and classification of diabetic retinopathy using OCTA images by artificial neural network.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/effective-blood-vessels-reconstruction-methodology-for-early-detection-and-classification-of-diabetic-retinopathy-using-.
BibTeX@misc{4ortxyz_effective-blood-vessels-reconstruction-methodology-for-early-detection-and-classification-of-diabetic-retinopathy-using-_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Effective blood vessels reconstruction methodology for early detection and classification of diabetic retinopathy using OCTA images by artificial neural network}}, year = {2026}, url = {https://4ort.xyz/entity/effective-blood-vessels-reconstruction-methodology-for-early-detection-and-classification-of-diabetic-retinopathy-using-}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Effective blood vessels reconstruction methodology for early detection and classification of diabetic retinopathy using OCTA images by artificial neural network — https://4ort.xyz/entity/effective-blood-vessels-reconstruction-methodology-for-early-detection-and-classification-of-diabetic-retinopathy-using- (retrieved 2026-05-24)