Deep learning-based triage and analysis of lesion burden for COVID-19: a retrospective study with external validation-Reference-Cited by-同舟云学术

Deep learning-based triage and analysis of lesion burden for COVID-19: a retrospective study with external validation

Published:2020-10 Issue:10 Volume:2 Page:e506-e515
ISSN:2589-7500
Container-title:The Lancet Digital Health
language:en
Short-container-title:The Lancet Digital Health

Author:

Wang Minghuan,Xia Chen,Huang Lu,Xu Shabei,Qin Chuan,Liu Jun,Cao Ying,Yu Pengxin,Zhu Tingting,Zhu Hui,Wu Chaonan,Zhang Rongguo,Chen Xiangyu,Wang Jianming,Du Guang,Zhang Chen,Wang Shaokang,Chen Kuan,Liu Zheng,Xia Liming,Wang Wei

Publisher

Elsevier BV

Subject

Health Information Management,Decision Sciences (miscellaneous),Health Informatics,Medicine (miscellaneous)

Reference18 articles.

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2. Essentials for radiologists on COVID-19: an update—radiology scientific expert panel;Kanne;Radiology,2020

3. Radiological findings from 81 patients with COVID-19 pneumonia in Wuhan, China: a descriptive study;Shi;Lancet Infect Dis,2020

4. Correlation of chest CT and RT-PCR testing in Coronavirus Disease 2019 (COVID-19) in China: a report of 1014 cases;Ai;Radiology,2020

5. Coronavirus Disease 2019 (COVID-19): a perspective from China;Zu;Radiology,2020

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