Detection of COVID-19 from chest x-ray images using transfer learning

Purpose: The objective of this study is to develop and evaluate a fully automated, deep learning-based method for detection of COVID-19 infection from chest x-ray images. Approach: The proposed model was developed by replacing the final classifier layer in DenseNet201 with a new network consisting o...

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Detalles Bibliográficos
Autores principales: Manokaran, Jenita, Zabihollahy, Fatemeh, Hamilton-Wright, Andrew, Ukwatta, Eranga
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Society of Photo-Optical Instrumentation Engineers 2021
Materias:
Digital Pathology
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8382139/
https://www.ncbi.nlm.nih.gov/pubmed/34435075
http://dx.doi.org/10.1117/1.JMI.8.S1.017503

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8382139/
https://www.ncbi.nlm.nih.gov/pubmed/34435075
http://dx.doi.org/10.1117/1.JMI.8.S1.017503

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