Development and external validation of a mixed-effects deep learning model to diagnose COVID-19 from CT imaging

BACKGROUND: The automatic analysis of medical images has the potential improve diagnostic accuracy while reducing the strain on clinicians. Current methods analyzing 3D-like imaging data, such as computerized tomography imaging, often treat each image slice as individual slices. This may not be able...

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Detalles Bibliográficos
Autores principales: Bridge, Joshua, Meng, Yanda, Zhu, Wenyue, Fitzmaurice, Thomas, McCann, Caroline, Addison, Cliff, Wang, Manhui, Merritt, Cristin, Franks, Stu, Mackey, Maria, Messenger, Steve, Sun, Renrong, Zhao, Yitian, Zheng, Yalin
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2023
Materias:
Medicine
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10481527/
https://www.ncbi.nlm.nih.gov/pubmed/37680621
http://dx.doi.org/10.3389/fmed.2023.1113030

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10481527/
https://www.ncbi.nlm.nih.gov/pubmed/37680621
http://dx.doi.org/10.3389/fmed.2023.1113030

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