Artificial intelligence-assisted multistrategy image enhancement of chest X-rays for COVID-19 classification

BACKGROUND: The coronavirus disease 2019 (COVID-19) led to a dramatic increase in the number of cases of patients with pneumonia worldwide. In this study, we aimed to develop an AI-assisted multistrategy image enhancement technique for chest X-ray (CXR) images to improve the accuracy of COVID-19 cla...

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Detalles Bibliográficos
Autores principales: Sun, Hongfei, Ren, Ge, Teng, Xinzhi, Song, Liming, Li, Kang, Yang, Jianhua, Hu, Xiaofei, Zhan, Yuefu, Wan, Shiu Bun Nelson, Wong, Man Fung Esther, Chan, King Kwong, Tsang, Hoi Ching Hailey, Xu, Lu, Wu, Tak Chiu, Kong, Feng-Ming (Spring), Wang, Yi Xiang J., Qin, Jing, Chan, Wing Chi Lawrence, Ying, Michael, Cai, Jing
Formato: Online Artículo Texto
Lenguaje:English
Publicado: AME Publishing Company 2022
Materias:
Original Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9816729/
https://www.ncbi.nlm.nih.gov/pubmed/36620146
http://dx.doi.org/10.21037/qims-22-610

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9816729/
https://www.ncbi.nlm.nih.gov/pubmed/36620146
http://dx.doi.org/10.21037/qims-22-610

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