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. 2020 Sep 25;9(2):53. doi: 10.1167/tvst.9.2.53

Figure 6.

Figure 6.

The visualization of the trained CNN. The first column is the original topographic image. The second column is the pixel-wise discriminative features, and it can outline the gradient difference of the topographic maps clearly. The third column is the class-discriminative heat map visualization method, and it reveals that the most significant area in the topographic images lies in the area of the greatest gradient difference.