Author: Min Zhou; Yong Chen; Dexiang Wang; Yanping Xu; Weiwu Yao; Jingwen Huang; Xiaoyan Jin; Zilai Pan; Jingwen Tan; Lan Wang; Yihan Xia; Longkuan Zou; Xin Xu; Jingqi Wei; Mingxin Guan; Jianxing Feng; Huan Zhang; Jieming Qu
Title: Improved deep learning model for differentiating novel coronavirus pneumonia and influenza pneumonia Document date: 2020_3_30
ID: ilc2bzkx_12
Snippet: Because of the limited number of annotations, we chose VGGNet as the classification model (20) . It is improved on the basis of AlexNet. To better fit our problem, we made some modifications on the original VGGNet and used transfer learning (16, 21) . based on previous reports. We denoted the normal training process as the Plain scheme. To better solve the transferability problem of deep learning, we proposed a possible device-specific solution, .....
Document: Because of the limited number of annotations, we chose VGGNet as the classification model (20) . It is improved on the basis of AlexNet. To better fit our problem, we made some modifications on the original VGGNet and used transfer learning (16, 21) . based on previous reports. We denoted the normal training process as the Plain scheme. To better solve the transferability problem of deep learning, we proposed a possible device-specific solution, named as the Trinary training scheme.
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