Classification on Digital Pathological Images of Breast Cancer Based on Deep Features of Different Levels

Figure 4

Feature extraction structure. EF1, EF2, and EF3, respectively, represent three different feature extraction methods. The orange area represents the effective feature extraction area, and the gray area represents the invalid area. I represents the input layer, C represents the convolution layer, P represents the max pooling layer, G represents the global max pooling layer, and MLCS represents the ML classifier set.