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
Table 3 Comparison of the diagnostic performance of EDLC-TN with radiologists.
Accuracy | Sensitivity | Specificity | |
---|---|---|---|
EDLC-TN | 93.70% | 93.19% | 94.01% |
Radiologist 1 | 91.55% | 91.45% | 91.71% |
Radiologist 2 | 87.26% | 96.34% | 72.19% |
Radiologist 3 | 93.07% | 92.56% | 93.92% |
Average of radiologists | 90.63% | 93.45% | 85.94% |
Radiologists and EDLC-TN | 96.54% | 97.11% | 95.58% |
EDLC-TN – ensemble deep learning classification model of thyroid nodules. |