Evaluation of multiple open-source deep learning models for detecting and grading COVID-19 on chest radiographs

Purpose: Chest x-rays are complex to report accurately. Viral pneumonia is often subtle in its radiological appearance. In the context of the COVID-19 pandemic, rapid triage of cases and exclusion of other pathologies with artificial intelligence (AI) can assist over-stretched radiology departments....

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Detalles Bibliográficos
Autores principales: Risman, Alexander, Trelles, Miguel, Denning, David W.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Society of Photo-Optical Instrumentation Engineers 2021
Materias:
Computer-Aided Diagnosis
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8734487/
https://www.ncbi.nlm.nih.gov/pubmed/35005058
http://dx.doi.org/10.1117/1.JMI.8.6.064502

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8734487/
https://www.ncbi.nlm.nih.gov/pubmed/35005058
http://dx.doi.org/10.1117/1.JMI.8.6.064502

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