Diabetic retinopathy detection through deep learning techniques: A review
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Abstract
Diabetic Retinopathy (DR) is a common complication of diabetes mellitus, which causes lesions on the retina that effect vision. If it is not detected early, it can lead to blindness. Unfortunately, DR is not a reversible process, and treatment only sustains vision. DR early detection and treatment can significantly reduce the risk of vision loss. The manual diagnosis process of DR retina fundus images by ophthalmologists is time-, effort-, and cost-consuming and prone to misdiagnosis unlike computer-aided diagnosis systems. Recently, deep learning has become one of the most common techniques that has achieved better performance in many areas, especially in medical image analysis and classification.…
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Topics
Keywords
- Fundus (uterus)
- Diabetic retinopathy
- Deep learning
- Artificial intelligence
- Convolutional neural network
- Blindness
- Computer science
- Optometry
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