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Table 4 Comparisons of the mean and std of MSE between AE and CSDAE

From: Automated chest screening based on a hybrid model of transfer learning and convolutional sparse denoising autoencoder

 

Noise factor

Train data MSE (mean ± std)

Test data MSE (mean ± std)

Test noised data MSE (mean ± std)

AE

0.01

0.000983 ± 0.000304

0.001088 ± 0.0004

0.001112 ± 0.000405

CSDAE

0.01

0.000829 ± 0.000282

0.000923 ± 0.000369

0.000922 ± 0.000368

AE

0.05

0.001039 ± 0.000334

0.001146 ± 0.000427

0.001255 ± 0.000445

CSDAE

0.05

0.001003 ± 0.000334

0.001103 ± 0.000421

0.001174 ± 0.00045