Table 6.

Classification results of radiomics method and deep learning

Methods	Models	AUC	ACC (%)	SEN (%)	SPEC (%)	Precision (%)	Recall (%)	F1 (%)
Radiomics [16]	2D-domain	0.8151	76.00	87.50	55.56	77.78	87.50	82.35
	3D-domain	0.8402	74.00	78.13	66.67	80.65	78.13	79.37
	Combined-domain	0.8107	72.00	81.25	55.56	76.47	81.25	78.79
The proposed method	2D-ResNet34	0.8264	76.00	78.13	72.22	83.33	78.13	80.65
	3D-ResNet-Anisotropic	0.8455	76.00	75.00	77.78	85.71	75.00	80.00
	Feature-Ensemble	0.8247	76.00	87.50	55.56	77.78	87.50	82.35
	Decision-Ensemble-UA	0.8837	82.00	84.38	77.78	87.10	84.38	85.71