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Comparing a deep learning model's diagnostic performance to that of radiologists to detect Covid -19 features on chest radiographs
BACKGROUND: Whether the sensitivity of Deep Learning (DL) models to screen chest radiographs (CXR) for CoVID-19 can approximate that of radiologists, so that they can be adopted and used if real-time review of CXRs by radiologists is not possible, has not been explored before. OBJECTIVE: To evaluate...
Gardado en:
| Publicado en: | Indian J Radiol Imaging |
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| Main Authors: | , , , , , , , , |
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado: |
Wolters Kluwer - Medknow
2021
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| Assuntos: | |
| Acceso en liña: | https://ncbi.nlm.nih.gov/pmc/articles/PMC7996677/ https://ncbi.nlm.nih.gov/pubmed/33814762 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.4103/ijri.IJRI_914_20 |
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