Fig 4. Class activation map attached to the final layer of the proposed CNN model.

CAM revealed the important areas for the final classification and was generated using GAP with the multiplication of each channel by the given weight from the fully connected (fc) layer (W1, W2…Wn). CAM, class activation map; CNN, convolutional neural network; CONV, convolutional; GAP, global average pooling.