Table 7.

The performance of DeepDSR and other models for three-classification problem.

	Precision	Recall	Accuracy	F1-score
EfficientNet V2	0.4023	0.4479	0.5132	0.3736
ResNet	0.9487	0.9397	0.9541	0.9439
Vision transformer	0.7112	0.6264	0.7373	0.6301
Swin transformer	0.9488	0.9371	0.9548	0.9424
RegNet	0.9492	0.9463	0.9568	0.9476
DenseNet	0.9552	0.953	0.9608	0.9541
DeepDSR	0.974	0.9653	0.9737	0.9695

The bold fonts represent the best performance in each column.