Fig. 1.
Image treatment (Top) and convoluted neural network (CNN) (Bottom) used. The image treatment extracts the grayscale image, crops it to the region of interest, normalizes the image, and squeezes it to a smaller dimension for the CNN. The CNN is a simple binary classifier that includes three convolution layers with max pooling and dropout regularization at 0.25, a dense layer with dropout regularization at 0.5 before the final dense layer.