Apparatus and methods for detecting features indicative of diabetic retinopathy in retinal images are disclosed. Image data of a retinal image is processed using a first convolutional neural network, to classify the retinal image as a normal image or a disease image, a feature of interest is selected from an image classified as a disease image, and image data of the selected feature is processed using a second convolutional neural network, to determine whether the selected feature is a feature indicative of diabetic retinopathy.
