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Hybrid machine learning architecture for automated detection and grading of retinal images for diabetic retinopathy
Purpose: Diabetic retinopathy is the leading cause of blindness, affecting over 93 million people. An automated clinical retinal screening process would be highly beneficial and provide a valuable second opinion for doctors worldwide. A computer-aided system to detect and grade the retinal images wo...
Enregistré dans:
| Publié dans: | J Med Imaging (Bellingham) |
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| Auteurs principaux: | , , , |
| Format: | Artigo |
| Langue: | Inglês |
| Publié: |
Society of Photo-Optical Instrumentation Engineers
2020
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| Sujets: | |
| Accès en ligne: | https://ncbi.nlm.nih.gov/pmc/articles/PMC7309178/ https://ncbi.nlm.nih.gov/pubmed/32613029 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1117/1.JMI.7.3.034501 |
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