Selected article for: "AI system and reader study 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_8
    Snippet: All CT data was divided into four independent parts with no overlapping subjects, a 312 subjects training cohort, a 104 subjects internal validation cohort, an external test cohort consist of 1,255 subjects, and a reader study cohort with 200 subjects (detailly described in Methods). Due to some positive subjects have multi-stage CTs and different stage CTs of one subject might be similar, the subset division was performed on subjects to make sur.....
    Document: All CT data was divided into four independent parts with no overlapping subjects, a 312 subjects training cohort, a 104 subjects internal validation cohort, an external test cohort consist of 1,255 subjects, and a reader study cohort with 200 subjects (detailly described in Methods). Due to some positive subjects have multi-stage CTs and different stage CTs of one subject might be similar, the subset division was performed on subjects to make sure all multi-stage CTs of the same subject are in a same subset. Figure 1 : Workflows of the whole study and the proposed AI system. a. Workflow of the whole study. b. Construction and usage of the AI system.

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