Selected article for: "AI system and test cohort"
Author: Cheng Jin; Weixiang Chen; Yukun Cao; Zhanwei Xu; Xin Zhang; Lei Deng; Chuansheng Zheng; Jie Zhou; Heshui Shi; Jianjiang Feng
Title: Development and Evaluation of an AI System for COVID-19
  • Document date: 2020_3_23
    • ID: k1lg8c7q_60
    Snippet: Our COVID-19 diagnosis block is a 2D classification deep network whose backbone is ResNet152 [24] , a deep network with 152 convolutional, pooling or fully-connected layers. The parameters of ResNet152 are pretrained on a Figure 7 : Extend Performances of proposed AI system. a. PR curves was employed to assess the AI system performance of COVID-19 diagnosis. b. Decision curve analyses (DCA) of AI system in independent external test set for COVID-.....
    Document: Our COVID-19 diagnosis block is a 2D classification deep network whose backbone is ResNet152 [24] , a deep network with 152 convolutional, pooling or fully-connected layers. The parameters of ResNet152 are pretrained on a Figure 7 : Extend Performances of proposed AI system. a. PR curves was employed to assess the AI system performance of COVID-19 diagnosis. b. Decision curve analyses (DCA) of AI system in independent external test set for COVID-19 diagnosis. c. Errors count in external public databases in external test cohort.

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