Exploring Deep Neural Networks for Accurate Diabetic Retinopathy Prediction

Author:

Kujani T.1,Arivubrakan P.1,Raju K.2,Sankar P. Mani2,Reddy B. Surekha3,Bhavana E.3

Affiliation:

1. Computer Science and Engineering Vel Tech Rangarajan Dr. Sagunthala R&D Institute of Science and Technology,Chennai,India

2. Artificial Intelligence and Machine Learning Vel Tech Rangarajan Dr. Sagunthala R&D Institute of Science and Technology,Chennai,India

3. Artificial Intelligence and Data Science Vel Tech Rangarajan Dr. Sagunthala R&D Institute of Science and Technology,Chennai,India

Publisher

IEEE

Reference14 articles.

1. Diabetic retinopathy detection through deep learning techniques: A review

2. Predicting the risk of developing diabetic retinopathy using deep learning

3. Retinal Blood Vessel Segmentation Using an EDADCN Architecture—Encoder–Decoder Architecture with Dilated Convolutions and Attention Mechanism;Mary;Lecture notes in networks and systems,2023

4. Early Detection of Diabetic Retinopathy Using PCA-Firefly Based Deep Learning Model

5. Detection of diabetic retinopathy using deep learning methodology

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