computational demands

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• Published Subscription Review Article 13 Aug 2024

  Detection and Classification of Diabetic Retinopathy Using Deep Learning Techniques

  By Tejashwini N, Shantakumar B Patil, Rabbani S, Shreyas T.S, Sumanth V, Darshan R

  Abstract: This project delves into the evaluation of three prominent deep learning architectures Basic CNN, ResNet, and DenseNet for their efficacy in detecting diabetic retinopathy from retinal images. Utilizing a diverse dataset, the study employs standard deep learning frameworks to train and validate each model. The focus extends to exploring the potential benefits of transfer learning on a limited dataset. Evaluation metrics like specificity, sensitivity, and accuracy are employed for a …

  Published in Research and Reviews : A Journal of Medical Science and Technology · Vol. 13, Issue 2, 2024 · pp. 64–69 Read article →