Table 3.
The performance summary of thyroid ultrasound CAD system.
| Reference | Dataset | Features | Classifiers | Performance |
|---|---|---|---|---|
| [25] | 48 benign 223 malignant |
Textural features | Decision tree: C4.5 | Accuracy: 94.3% |
|
| ||||
| [26] | 10 benign 10 malignant |
Textural features | AdaBoost | Accuracy: 100% Sensitivity: 100% Specificity: 100% |
|
| ||||
| [27] | 71 benign 357 malignant |
GoogLeNet | Accuracy: 99.13% Sensitivity: 99.70% Specificity: 95.80% |
|
|
| ||||
| [28] | 465 normal 9957 thyroid nodular lesions |
CNN (15 convolutional layers) | CNN (4 convolutional layers) | AUC: 0.986 |