Abstract:
Diabetic Retinopathy affects the eyes, potentially causing partial or total damage to the retina. High blood glucose levels harm the nerves carrying blood in retina, lead...Show MoreMetadata
Abstract:
Diabetic Retinopathy affects the eyes, potentially causing partial or total damage to the retina. High blood glucose levels harm the nerves carrying blood in retina, leading to microvascular end-organ damage that is associated with diabetes. Efficient implementation of preventive measures and minimizing potential harm heavily relies on early detection. Researchers have explored computational approaches to detect this disease. Cutting-edge studies employ image processing techniques and deep learning models to facilitate the timely identification of diabetic deposits, leading to decreased retinal damage. This article recommends using CNN (such as RESNET 50, VGG, and Xception) on fundus images to identify diabetic deposits in the dataset.
Published in: 2023 14th International Conference on Computing Communication and Networking Technologies (ICCCNT)
Date of Conference: 06-08 July 2023
Date Added to IEEE Xplore: 23 November 2023
ISBN Information:
ISSN Information:
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- IEEE Keywords
- Index Terms
- Visual Impairment ,
- Hypertension ,
- Deep Learning ,
- Early Detection ,
- Learning Models ,
- Convolutional Neural Network ,
- High Glucose ,
- Deep Learning Models ,
- High Glucose Levels ,
- Fundus Images ,
- Neural Network ,
- Blood Vessels ,
- Exploratory Analysis ,
- Deep Network ,
- Convolutional Layers ,
- Image Classification ,
- Glaucoma ,
- Confusion Matrix ,
- Transfer Learning ,
- Deep Convolutional Neural Network ,
- Non-proliferative Diabetic Retinopathy ,
- Retinal Images ,
- Diabetic Macular Edema ,
- Pooling Layer ,
- Proliferative Retinopathy ,
- Computer Vision Algorithms ,
- ML Models ,
- Feed-forward Network ,
- Microaneurysms ,
- Eye Disease
- Author Keywords
Keywords assist with retrieval of results and provide a means to discovering other relevant content. Learn more.
- IEEE Keywords
- Index Terms
- Visual Impairment ,
- Hypertension ,
- Deep Learning ,
- Early Detection ,
- Learning Models ,
- Convolutional Neural Network ,
- High Glucose ,
- Deep Learning Models ,
- High Glucose Levels ,
- Fundus Images ,
- Neural Network ,
- Blood Vessels ,
- Exploratory Analysis ,
- Deep Network ,
- Convolutional Layers ,
- Image Classification ,
- Glaucoma ,
- Confusion Matrix ,
- Transfer Learning ,
- Deep Convolutional Neural Network ,
- Non-proliferative Diabetic Retinopathy ,
- Retinal Images ,
- Diabetic Macular Edema ,
- Pooling Layer ,
- Proliferative Retinopathy ,
- Computer Vision Algorithms ,
- ML Models ,
- Feed-forward Network ,
- Microaneurysms ,
- Eye Disease
- Author Keywords