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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...

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Bibliographische Detailangaben
Veröffentlicht in:Indian J Radiol Imaging
Hauptverfasser: Krishnamoorthy, Sabitha, Ramakrishnan, Sudhakar, Colaco, Lanson Brijesh, Dias, Akshay, Gopi, Indu K, Gowda, Gautham A G, Aishwarya, KC, Ramanan, Veena, Chandran, Manju
Format: Artigo
Sprache:Inglês
Veröffentlicht: Wolters Kluwer - Medknow 2021
Schlagworte:
Online Zugang: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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