An Efficient USE-Net Deep Learning Model for Cancer Detection

Table 5

Performance analysis comparison based on ultrasound classification models.

Models	Accuracy (%)	Sensitivity (%)	Specificity (%)	Precision (%)	F1-scores (%)
CNN-DenseNet-161 [9]	90.80	89.86	91.53%	89.26	89.56%
CNN-VGG-16 [9]	88.72	83.78	92.59%	89.86	86.71%
CART [7]	94.58	90.80	98.84%	98.91	NA
R-boost [20]	97.06	97.48	NA	98.16	97.82%
M-tree [20]	96.10	97.91	NA	96.61	97.16%
Proposed model	97.87	98.45	95.24%	98.96	98.70%