Predicting COVID-19 pneumonia severity on chest X-ray with convolutional neural network: A retrospective study

OBJECTIVES: Radiological lung changes in COVID-19 infections present a noteworthy avenue to develop chest X-ray (CXR) -based testing models to support existing rapid detection techniques. The purpose of this study is to evaluate the accuracy of artificial intelligence (AI) -based screening model emp...

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Detalles Bibliográficos
Autores principales: Rao, Vishal, Priyanka, M. S., Lakshmi, A., Faheema, A. G. J., Thomas, Alex, Medappa, Karan, Subhash, Anand, Arakeri, Gururaj, Shariff, Adnan, Vijendra, Vybhav, Amith, R., Kannan, Swetha, Gulia, Ashish, Shivalingappa, Shivakumar Swamy, van Merode, G. G. Frits, Shariff, Asrar, Masood, S.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Scientific Scholar 2020
Materias:
Original Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8219001/
http://dx.doi.org/10.25259/IJMS_349_2020

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8219001/
http://dx.doi.org/10.25259/IJMS_349_2020

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