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. 2017 Mar 17;12(3):e0168606. doi: 10.1371/journal.pone.0168606

Table 2. Comparison of SVM and softmax classifier with FC7 high-level features extracted by the CNN.

Method Classification Area grading Density grading Location grading
CNN 96.85% 90.29% 92.23% 88.35%
CNN_FC7 (Linear SVM)* 96.85% 90.29% 93.20% 89.32%
CNN_FC7 (RBF SVM)§ 96.85% 90.29% 92.23% 90.29%
log2c = -1; log2g = -8 log2c = -6; log2g = -10 log2c = -6; log2g = -8 log2c = -5; log2g = -8

Footnotes: CNN (convolutional neural network); SVM (support vector machine); CNN_FC7 (the seventh fully-connected layer features of CNN); RBF (radial basis function);

*(linear kernel function SVM classifier);

§(RBF SVM classifier); c (cost parameter of RBF); g (gamma parameter of RBF).