Study Findings on Artificial Intelligence Detailed by Researchers at Universidad Yachay Tech (Artificial intelligence based glaucoma and diabetic retinopathy detection using MATLAB - retrained AlexNet convolutional neural network [version 2;...).
In: Diabetes Week, 2024-06-17, S. 357-357
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A recent study conducted by researchers at Universidad Yachay Tech has explored the use of artificial intelligence (AI) for the detection of glaucoma and diabetic retinopathy. The study proposes the use of a MATLAB-retrained AlexNet convolutional neural network (CNN) for the identification of these eye diseases using retinal fundus images. The CNN achieved validation accuracies ranging from 89.7% to 94.3% for different categories, demonstrating its effectiveness in detecting glaucoma and diabetic retinopathy. The study emphasizes the need for automated early detection tools and suggests that CNNs can be accessible solutions without replacing existing technologies. [Extracted from the article]
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Study Findings on Artificial Intelligence Detailed by Researchers at Universidad Yachay Tech (Artificial intelligence based glaucoma and diabetic retinopathy detection using MATLAB - retrained AlexNet convolutional neural network [version 2;...).
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Zeitschrift: | Diabetes Week, 2024-06-17, S. 357-357 |
Veröffentlichung: | 2024 |
Medientyp: | serialPeriodical |
ISSN: | 1537-1425 (print) |
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