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DR-MIL: deep represented multiple instance learning distinguishes COVID-19 from community-acquired pneumonia in CT images
BACKGROUND AND OBJECTIVE: Given that the novel coronavirus disease 2019 (COVID-19) has become a pandemic, a method to accurately distinguish COVID-19 from community-acquired pneumonia (CAP) is urgently needed. However, the spatial uncertainty and morphological diversity of COVID-19 lesions in the lu...
| Autores principales: | , , , , , , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Elsevier B.V.
2021
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8426140/ https://www.ncbi.nlm.nih.gov/pubmed/34536634 http://dx.doi.org/10.1016/j.cmpb.2021.106406 |