Using Artificial Intelligence to Detect COVID-19 and Community-acquired Pneumonia Based on Pulmonary CT: Evaluation of the Diagnostic Accuracy-Reference-Cited by-同舟云学术

Using Artificial Intelligence to Detect COVID-19 and Community-acquired Pneumonia Based on Pulmonary CT: Evaluation of the Diagnostic Accuracy

Published:2020-08 Issue:2 Volume:296 Page:E65-E71
ISSN:0033-8419
Container-title:Radiology
language:en
Short-container-title:Radiology

Author:

Li Lin^ORCID,Qin Lixin^ORCID,Xu Zeguo^ORCID,Yin Youbing^ORCID,Wang Xin^ORCID,Kong Bin^ORCID,Bai Junjie^ORCID,Lu Yi^ORCID,Fang Zhenghan^ORCID,Song Qi^ORCID,Cao Kunlin^ORCID,Liu Daliang^ORCID,Wang Guisheng^ORCID,Xu Qizhong^ORCID,Fang Xisheng^ORCID,Zhang Shiqin^ORCID,Xia Juan^ORCID,Xia Jun^ORCID

Publisher

Radiological Society of North America (RSNA)

Subject

Radiology, Nuclear Medicine and imaging

Link

http://pubs.rsna.org/doi/pdf/10.1148/radiol.2020200905

Reference19 articles.

1. Epidemiological and clinical characteristics of 99 cases of 2019 novel coronavirus pneumonia in Wuhan, China: a descriptive study

2. Clinical Characteristics of 138 Hospitalized Patients With 2019 Novel Coronavirus–Infected Pneumonia in Wuhan, China

3. Early Transmission Dynamics in Wuhan, China, of Novel Coronavirus–Infected Pneumonia

4. First Case of 2019 Novel Coronavirus in the United States

5. Correlation of Chest CT and RT-PCR Testing for Coronavirus Disease 2019 (COVID-19) in China: A Report of 1014 Cases

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