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Open AccessArticle

Article Versions Notes

Diagnostics 2023, 13(8), 1397; https://doi.org/10.3390/diagnostics13081397

Action	Date	Notes	Link
article xml file uploaded	12 April 2023 05:34 CEST	Original file	-
article xml uploaded.	12 April 2023 05:34 CEST	Update	https://www.mdpi.com/2075-4418/13/8/1397/xml
article pdf uploaded.	12 April 2023 05:34 CEST	Version of Record	https://www.mdpi.com/2075-4418/13/8/1397/pdf
article html file updated	12 April 2023 05:36 CEST	Original file	-
article html file updated	20 April 2023 21:48 CEST	Update	https://www.mdpi.com/2075-4418/13/8/1397/html

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MDPI and ACS Style

Feng, Y.; Sim Zheng Ting, J.; Xu, X.; Bee Kun, C.; Ong Tien En, E.; Irawan Tan Wee Jun, H.; Ting, Y.; Lei, X.; Chen, W.-X.; Wang, Y.; et al. Deep Neural Network Augments Performance of Junior Residents in Diagnosing COVID-19 Pneumonia on Chest Radiographs. Diagnostics 2023, 13, 1397. https://doi.org/10.3390/diagnostics13081397

AMA Style

Feng Y, Sim Zheng Ting J, Xu X, Bee Kun C, Ong Tien En E, Irawan Tan Wee Jun H, Ting Y, Lei X, Chen W-X, Wang Y, et al. Deep Neural Network Augments Performance of Junior Residents in Diagnosing COVID-19 Pneumonia on Chest Radiographs. Diagnostics. 2023; 13(8):1397. https://doi.org/10.3390/diagnostics13081397

Chicago/Turabian Style

Feng, Yangqin, Jordan Sim Zheng Ting, Xinxing Xu, Chew Bee Kun, Edward Ong Tien En, Hendra Irawan Tan Wee Jun, Yonghan Ting, Xiaofeng Lei, Wen-Xiang Chen, Yan Wang, and et al. 2023. "Deep Neural Network Augments Performance of Junior Residents in Diagnosing COVID-19 Pneumonia on Chest Radiographs" Diagnostics 13, no. 8: 1397. https://doi.org/10.3390/diagnostics13081397

APA Style

Feng, Y., Sim Zheng Ting, J., Xu, X., Bee Kun, C., Ong Tien En, E., Irawan Tan Wee Jun, H., Ting, Y., Lei, X., Chen, W.-X., Wang, Y., Li, S., Cui, Y., Wang, Z., Zhen, L., Liu, Y., Siow Mong Goh, R., & Tan, C. H. (2023). Deep Neural Network Augments Performance of Junior Residents in Diagnosing COVID-19 Pneumonia on Chest Radiographs. Diagnostics, 13(8), 1397. https://doi.org/10.3390/diagnostics13081397

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