Computed tomography–based COVID–19 triage through a deep neural network using mask–weighted global average pooling

BACKGROUND: There is an urgent need to find an effective and accurate method for triaging coronavirus disease 2019 (COVID-19) patients from millions or billions of people. Therefore, this study aimed to develop a novel deep-learning approach for COVID-19 triage based on chest computed tomography (CT...

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Detalles Bibliográficos
Autores principales: Zhang, Hong-Tao, Sun, Ze-Yu, Zhou, Juan, Gao, Shen, Dong, Jing-Hui, Liu, Yuan, Bai, Xu, Ma, Jin-Lin, Li, Ming, Li, Guang, Cai, Jian-Ming, Sheng, Fu-Geng
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2023
Materias:
Cellular and Infection Microbiology
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10020619/
https://www.ncbi.nlm.nih.gov/pubmed/36936770
http://dx.doi.org/10.3389/fcimb.2023.1116285

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10020619/
https://www.ncbi.nlm.nih.gov/pubmed/36936770
http://dx.doi.org/10.3389/fcimb.2023.1116285

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