Detection and staging of chronic obstructive pulmonary disease using a computed tomography–based weakly supervised deep learning approach-Reference-Cited by-同舟云学术

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Detection and staging of chronic obstructive pulmonary disease using a computed tomography–based weakly supervised deep learning approach

Published:2022-02-24 Issue:8 Volume:32 Page:5319-5329
ISSN:1432-1084
Container-title:European Radiology
language:en
Short-container-title:Eur Radiol

Author:

Sun Jiaxing,Liao Ximing,Yan Yusheng,Zhang Xin,Sun Jian,Tan Weixiong,Liu Baiyun,Wu Jiangfen,Guo Qian,Gao Shaoyong,Li Zhang,Wang Kun,Li Qiang

Funder

Key Technologies Research and Development Program

National Natural Science Foundation of China

Health and Family Planning Committee of Pudong New Area

Publisher

Springer Science and Business Media LLC

Subject

Radiology, Nuclear Medicine and imaging,General Medicine

Link

https://link.springer.com/content/pdf/10.1007/s00330-022-08632-7.pdf

Reference37 articles.

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2. Halpin DMG, Criner GJ, Papi A et al (2021) Global initiative for the diagnosis, management, and prevention of chronic obstructive lung disease. The 2020 GOLD Science Committee report on COVID-19 and chronic obstructive pulmonary disease. Am J Respir Crit Care Med 203:24–36

3. Jithoo A, Enright PL, Burney P et al (2013) Case-finding options for COPD: results from the Burden of Obstructive Lung Disease study. Eur Respir J 41:548–555

4. Perez-Padilla R, Thirion-Romero I, Guzman N (2018) Underdiagnosis of chronic obstructive pulmonary disease: should smokers be offered routine spirometry tests? Expert Rev Respir Med 12:83–85

5. Lamprecht B, Soriano JB, Studnicka M et al (2015) Determinants of underdiagnosis of COPD in national and international surveys. Chest 148:971–985

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