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

Figure 5

Architectures for binary classification (healthy/diseased) tasks without augmentation, with random shifted and random weak Gaussian blurred augmentation schemes, and by combined augmentation schemes. A tenfold cross-validation approach is used for hyperparameter selection.