Table 5.

Quantitative results of binary and multi-class segmentation on COVID-SemiSeg DATASET without region infection segmentation and structure–texture preprocessing

Method	Dice	Sensitivity	Specificity	Precision	MAE
ROI segmentation without ST(binary)	0.365	0.254	0.987	0.644	0.278
Model without ST and ROI Region (multi-class)	0.586	0.448	0.947	0.850	0.186
Proposed method (multi-class)	0.640	0.630	0.953	0.561	0.060