Table 2.

Classification accuracy (%) for the three SVM classifiers trained with the deep features extracted from the three CNNs learned with the original CT images and texture-based radiomics images (DWT and GLCM).

	L-SVM		Q-SVM		C-SVM
Model	GLCM-8	DWT-Haar	GLCM-8	DWT-Haar	GLCM-8	DWT-Haar
ResNet-18	94.8	95.4	95	97.1	95.2	97
ResNet-50	98.3	98.6	98.9	99.4	99.1	99.6
ResNet-101	98	98.3	98.9	98.8	99	99.3

CT: computed tomography; CNNs: convolutional neural networks; DWT: discrete wavelet transform; DWT-Haar: DWT-Haar: discrete wavelet transform with Haar mother wavelet; GLCM: gray-level covariance matrix; GLCM-8: GLCM with 8 gray levels; SVM: support vector machine.