TABLE 3.

Performance of deep learning models in elastography image classification.

Elastography	Models	Accuracy	Precision	Recall	F1-score
Shear-wave	ResNet-50	0.41	0.57	0.32	0.35
	GoogLeNet	0.81	0.79	0.80	0.80
	DenseNet-121	0.87	0.87	0.85	0.86
	EfficientNet-B6	0.71	0.76	0.65	0.67
Strain	ResNet-50	0.52	0.52	0.49	0.62
	GoogLeNet	0.79	0.79	0.79	0.79
	DenseNet-121	0.52	0.50	0.48	0.65
	EfficientNet-B6	0.51	0.49	0.49	0.58
Doppler	ResNet-50	0.58	0.56	0.51	0.50
	GoogLeNet	0.76	0.76	0.77	0.75
	DenseNet-121	0.64	0.62	0.63	0.59
	EfficientNet-B6	0.56	0.49	0.56	0.50