18 June 2020: Clinical Research
Ensemble Deep Learning Model for Multicenter Classification of Thyroid Nodules on Ultrasound Images
Xi Wei 1ACDEG* , Ming Gao 2BEF , Ruiguo Yu 3BCD , Zhiqiang Liu 3BCE , Qing Gu 4BC , Xun Liu 5BC , Zhiming Zheng 6BC , Xiangqian Zheng 2BC , Jialin Zhu 1ABCDEF* , Sheng Zhang 1BDDOI: 10.12659/MSM.926096
Med Sci Monit 2020; 26:e926096
Supplementary Table 4 Test results of weak and strong classifiers in the diagnosis of thyroid nodules.
| Model | Accuracy | Sensitivity | Specificity |
|---|---|---|---|
| Weak Model 1 | 92.24% | 95.22% | 87.29% |
| Weak model 2 | 92.31% | 91.89% | 93.00% |
| Weak Model 3 | 91.89% | 91.00% | 92.26% |
| Strong Model | 93.70% | 93.19% | 94.01% |