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 1 Number of training and testing images from four datasets.
Center 1 (23504) | Center 2 (530) | Center 3 (1475) | Center 4 (1032) | Total of all (26541) | |
---|---|---|---|---|---|
Benign | 6464 | 205 | 522 | – | 7191 |
Malignant | 10090 | 164 | 414 | – | 10668 |
Total for training | 16554 | 369 | 936 | – | 17859 |
Benign | 2620 | 84 | 359 | 502 | 3565 |
Malignant | 4330 | 77 | 180 | 530 | 5117 |
Total for testing | 6950 | 161 | 539 | 1032 | 8682 |