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Comprehensive review of retinal blood vessel segmentation and classification techniques: intelligent solutions for green computing in medical images, current challenges, open issues, and knowledge gaps in fundus medical images
Research article (Network Modeling Analysis in Health Informatics and Bioinformatics, 2021) · cited 70× · AI/ML
Comprehensive review of retinal blood vessel segmentation and classification techniques: intelligent solutions for green computing in medical images, current challenges, open issues, and knowledge gaps in fundus medical images
Summary
Comprehensive review of retinal blood vessel segmentation and classification techniques: intelligent solutions for green computing in medical images, current challenges, open issues, and knowledge gaps in fundus medical images is a scholarly article[1].
Key Facts
Comprehensive review of retinal blood vessel segmentation and classification techniques: intelligent solutions for green computing in medical images, current challenges, open issues, and knowledge gaps in fundus medical images's instance of is recorded as scholarly article[2].
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APA4ort.xyz Knowledge Graph. (2026). Comprehensive review of retinal blood vessel segmentation and classification techniques: intelligent solutions for green computing in medical images, current challenges, open issues, and knowledge gaps in fundus medical images. Retrieved May 24, 2026, from https://4ort.xyz/entity/comprehensive-review-of-retinal-blood-vessel-segmentation-and-classification-techniques-intelligent-solutions-for-green-
MLA“Comprehensive review of retinal blood vessel segmentation and classification techniques: intelligent solutions for green computing in medical images, current challenges, open issues, and knowledge gaps in fundus medical images.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/comprehensive-review-of-retinal-blood-vessel-segmentation-and-classification-techniques-intelligent-solutions-for-green-.
BibTeX@misc{4ortxyz_comprehensive-review-of-retinal-blood-vessel-segmentation-and-classification-techniques-intelligent-solutions-for-green-_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Comprehensive review of retinal blood vessel segmentation and classification techniques: intelligent solutions for green computing in medical images, current challenges, open issues, and knowledge gaps in fundus medical images}}, year = {2026}, url = {https://4ort.xyz/entity/comprehensive-review-of-retinal-blood-vessel-segmentation-and-classification-techniques-intelligent-solutions-for-green-}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Comprehensive review of retinal blood vessel segmentation and classification techniques: intelligent solutions for green computing in medical images, current challenges, open issues, and knowledge gaps in fundus medical images — https://4ort.xyz/entity/comprehensive-review-of-retinal-blood-vessel-segmentation-and-classification-techniques-intelligent-solutions-for-green- (retrieved 2026-05-24)