Figure 5.

Shown from segmentation with the DCNN and its modified ResNet-50-M backbone are: (a) 16 of 64 activations at the output of the first convolutional layer with LoG filters (Conv1 in Figure 1), (b) the corresponding RGB image and its output label, (c) 16 of 256 inputs to the scorer layer for weighted scoring activations (Scorer in Figure 1), (d) the four class-based output activations of the softmax layer (Softmax in Figure 1). DCNN, deep convolutionalneural network; LoG, Laplacian of Gaussian.