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. 2024 Jul 12;11(7):709. doi: 10.3390/bioengineering11070709

Table 3.

Classification performance compared with an SCNN (without autoencoder) and the data augmentation effect.

Method Mean Accuracy (%) STD Best Accuracy (%)
TCNN (201 layers) 94.00 0.449 94.63
TCNN (without data augmentation)
(201 layers)
88.51 0.337 89.04
SCNN (201 layers) 91.50 0.458 92.04
SCNN (264 layers) 91.13 0.443 91.74