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_7
Snippet: We developed and evaluated a deep learning based COVID-19 diagnosis system, using multi-center data, which includes 756 subjects (496 COVID-19 positives and 260 negatives) collected in Wuhan Union Hospital, Western Campus of Wuhan Union Hospital, and Jianghan Mobile Cabin Hospital in Wuhan, the major epidemic area in China (detailed information is in Table 1 ). Two international public databases, LIDC-IDRI (1,012 subjects available) [16] and ILD-.....
Document: We developed and evaluated a deep learning based COVID-19 diagnosis system, using multi-center data, which includes 756 subjects (496 COVID-19 positives and 260 negatives) collected in Wuhan Union Hospital, Western Campus of Wuhan Union Hospital, and Jianghan Mobile Cabin Hospital in Wuhan, the major epidemic area in China (detailed information is in Table 1 ). Two international public databases, LIDC-IDRI (1,012 subjects available) [16] and ILD-HUG (113 subjects available) [17] are also included as negative cases to help develop and evaluate our AI system. Negatives from the three centers in Wuhan are healthy people and ones from public databases are healthy or suffer from other lung diseases.
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