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Illustration of the proposed SS-OLHF algorithm by fusing the highest level CNN representation learned at the output layer (OL) of a 3D CNN into the handcrafted features (HF). In the CNN architecture, Stage I mainly includes convolutional layers and pooling layers with tensor output; Stage Ⅱ mainly includes hidden fully connected layers with vector output; Stage Ⅲ is the output layer with vector output.
