STM Journals Peer-reviewed research from Consortium e-Learning Network

1 publication

  • Published Subscription Review Article

    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

Support