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_37
Snippet: For the Plain and Trinary scheme, it took 10 seconds to detect and classify all detected lesions for a single patient on average. Figure 3 showed the ROC curves for the test and the external validation set of both training schemes. On the test set, the Plain and Trinary scheme performed similarly good with AUC of 0.99 ( Figure 3A )......
Document: For the Plain and Trinary scheme, it took 10 seconds to detect and classify all detected lesions for a single patient on average. Figure 3 showed the ROC curves for the test and the external validation set of both training schemes. On the test set, the Plain and Trinary scheme performed similarly good with AUC of 0.99 ( Figure 3A ).
Search related documents:
Co phrase search for related documents- external validation and ROC curve: 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20
- external validation and test set: 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16
- external validation and trinary Plain scheme: 1, 2, 3
- ROC curve and single patient: 1, 2, 3, 4
- ROC curve and test ROC curve: 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25
- ROC curve and test set: 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21
- single patient and test set: 1, 2
Co phrase search for related documents, hyperlinks ordered by date