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...

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Detalles Bibliográficos
Autores principales: Krishnamoorthy, Sabitha, Ramakrishnan, Sudhakar, Colaco, Lanson Brijesh, Dias, Akshay, Gopi, Indu K, Gowda, Gautham A G, Aishwarya, KC, Ramanan, Veena, Chandran, Manju
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Wolters Kluwer - Medknow 2021
Materias:
Original Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7996677/
https://www.ncbi.nlm.nih.gov/pubmed/33814762
http://dx.doi.org/10.4103/ijri.IJRI_914_20

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7996677/
https://www.ncbi.nlm.nih.gov/pubmed/33814762
http://dx.doi.org/10.4103/ijri.IJRI_914_20

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