Table 1.

End-to-end deep learning classification accuracy (%) for the three ResNets trained with the original CT images and texture-based radiomics image (DWT and GLCM).

Model	Original	GLCM-4	GLCM-8	GLCM-12	GLCM-16	DWT-Haar	DWT-Sym	DWT-Dmyer
ResNet-18	70.34	71.41	83.22	73.02	71.41	80.81	79.33	77.72
ResNet-50	76.51	74.5	80.94	75.44	73.42	78.39	76.51	74.90
ResNet-101	73.42	73.15	80.54	78.12	73.29	77.99	74.77	75.97

CT: computed tomography; DWT; discrete wavelet transform; DWT-Haar: DWT-Haar: discrete wavelet transform with Haar mother wavelet; Dmyer: discrete Myer; GLCM: gray-level covariance matrix; GLCM-8: GLCM with 8 gray levels; Sym: Symlets.