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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...
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 |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2023
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Materias: | |
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 |
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