Diagnosis of Diabetic Retinopathy through Retinal Fundus Images and 3D Convolutional Neural Networks with Limited Number of Samples

Figure 1

Sample images in the TeleOphta database with random shifted and random weak Gaussian blurred augmentation methods for the binary classification task.

(a) Diseased class

(b) Diseased class with random weak Gaussian blurred augmentation

(c) Diseased class with ransom shifted augmentation

(d) Healthy class

(e) Healthy class with random shifted augmentation

(f) Healthy class with random weak Gaussian blurred augmentation