Selected article for: "data set and ROC curve"

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_15
    Snippet: On the external test cohort, the ROC curve showed AUC of 0.9791, sensitivity of 0.9406, and specificity of 0.9547. In the open data set LIDC-IDRI and ILD-HUG, the false positive rates of AI system were 3.12% and 11.85%, and the system showed good generalization ability (Figure 7 c )......
    Document: On the external test cohort, the ROC curve showed AUC of 0.9791, sensitivity of 0.9406, and specificity of 0.9547. In the open data set LIDC-IDRI and ILD-HUG, the false positive rates of AI system were 3.12% and 11.85%, and the system showed good generalization ability (Figure 7 c ).

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