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About Easychair Preprint: Aditya Mogha and K. Thirunavukkarasu
The document describes a study that uses a deep convolutional neural network (CNN) to detect diabetic retinopathy (DR) from retinal images. The researchers trained their CNN model on 5,000 retinal images and tested it on 1,000 separate images. Their CNN approach achieved an accuracy of approximately 93.3% for detecting DR, demonstrating the potential of deep learning for early detection of this eye condition from digital images in a fast and automated manner. This could help more people with diabetes receive timely screening and treatment for DR.
Detailed Information
| Author: | ['Oscar Julian Perdomo Charry'] |
|---|---|
| Publication Year: | 2020 |
| Pages: | 7 |
| Language: | English |
| Format: | |
| Price: | FREE |
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