Diabetic retinopathy detection through convolutional neural networks with synaptic metaplasticity

Background and objectives: Diabetic retinopathy is a type of diabetes that causes vascular changes that can lead to blindness. The ravages of this disease cannot be reversed, so early detection is essential. This work presents an automated method for early detection of this disease using fundus colored images. Methods: A bio-inspired approach is proposed on synaptic metaplasticity in convolutional neural networks. This biological phenomenon is...