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 2 ROI extraction algorithm structure.
Processing | Layer | Output size | Activation |
---|---|---|---|
Down-sampling | conv1_1 | 224×224 | Relu |
conv1_2 | 224×224 | Relu | |
pool1 | 112×112 | ||
conv2_1 | 112×112 | Relu | |
conv2_2 | 112×112 | Relu | |
pool2 | 56×56 | ||
conv3_1 | 56×56 | Relu | |
conv3_2 | 56×56 | Relu | |
conv3_3 | 56×56 | Relu | |
conv3_4 | 56×56 | Relu | |
pool3 | 28×28 | ||
conv4_1 | 28×28 | Relu | |
conv4_2 | 28×28 | Relu | |
conv4_3 | 28×28 | Relu | |
conv4_4 | 28×28 | Relu | |
pool4 | 14×14 | ||
conv5_1 | 14×14 | Relu | |
conv5_2 | 14×14 | Relu | |
Down-sampling [continued] | conv5_3 | 14×14 | Relu |
conv5_4 | 14×14 | Relu | |
pool5 | 7×7 | ||
conv6 | 7×7 | Relu | |
conv7 | 7×7 | Relu | |
conv8 | 7×7 | Relu | |
Up-sampling | deconv1 | 14×14 | |
deconv2 | 28×28 | ||
deconv3 | 224×224 |