Comparative Analysis of Vision Transformers and Conventional Convolutional Neural Networks in Detecting Referable Diabetic Retinopathy

Research article (Ophthalmology Science, 2024) · cited 34× · AI/ML
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Comparative Analysis of Vision Transformers and Conventional Convolutional Neural Networks in Detecting Referable Diabetic Retinopathy

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Comparative Analysis of Vision Transformers and Conventional Convolutional Neural Networks in Detecting Referable Diabetic Retinopathy is a scholarly article[1].

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APA 4ort.xyz Knowledge Graph. (2026). Comparative Analysis of Vision Transformers and Conventional Convolutional Neural Networks in Detecting Referable Diabetic Retinopathy. Retrieved May 24, 2026, from https://4ort.xyz/entity/comparative-analysis-of-vision-transformers-and-conventional-convolutional-neural-networks-in-detecting-referable-diabet
MLA “Comparative Analysis of Vision Transformers and Conventional Convolutional Neural Networks in Detecting Referable Diabetic Retinopathy.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/comparative-analysis-of-vision-transformers-and-conventional-convolutional-neural-networks-in-detecting-referable-diabet.
BibTeX @misc{4ortxyz_comparative-analysis-of-vision-transformers-and-conventional-convolutional-neural-networks-in-detecting-referable-diabet_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Comparative Analysis of Vision Transformers and Conventional Convolutional Neural Networks in Detecting Referable Diabetic Retinopathy}}, year = {2026}, url = {https://4ort.xyz/entity/comparative-analysis-of-vision-transformers-and-conventional-convolutional-neural-networks-in-detecting-referable-diabet}, note = {Accessed: 2026-05-24}}
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