TABLE 1.

Performance comparison of different methods for tooth-marked tongue recognition.

Backbone	Methods	Accuracy	Precision	Recall	F1-score
Resnet34	Image (Wang et al., 2020)	0.7228 ± 0.0147	0.7344 ± 0.1025	0.5091 ± 0.1181	0.5863 ± 0.0678
	Image (IPW) (Wang et al., 2020)	0.7940 ± 0.0442	0.8188 ± 0.8000	0.6275 ± 0.1574	0.6961 ± 0.1020
	Instance (Li et al., 2019)	0.9034 ± 0.0227	0.9185 ± 0.0344	0.8294 ± 0.3922	0.8711 ± 0.0298
	instance_MiSVM (Li et al., 2019)	0.9349 ± 0.0255	0.9332 ± 0.0349	0.9002 ± 0.0550	0.9156 ± 0.0340
	WSTDN	0.9197 ± 0.0759	0.8745 ± 0.1087	0.9427 ± 0.1197	0.9026 ± 0.0954