Cargando…
In Search of an Efficient and Reliable Deep Learning Model for Identification of COVID-19 Infection from Chest X-ray Images
The virus responsible for COVID-19 is mutating day by day with more infectious characteristics. With the limited healthcare resources and overburdened medical practitioners, it is almost impossible to contain this virus. The automatic identification of this viral infection from chest X-ray (CXR) ima...
Autores principales: | Azad, Abul Kalam, , Mahabub-A-Alahi, Ahmed, Imtiaz, Ahmed, Mosabber Uddin |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2023
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9914163/ https://www.ncbi.nlm.nih.gov/pubmed/36766679 http://dx.doi.org/10.3390/diagnostics13030574 |
Ejemplares similares
-
Reliable Sarcoidosis Detection Using Chest X-rays with EfficientNets and Stain-Normalization Techniques
por: Baghdadi, Nadiah, et al.
Publicado: (2022) -
Efficient framework for detecting COVID-19 and pneumonia from chest X-ray using deep convolutional network
por: Musallam, Ahmed Salem, et al.
Publicado: (2022) -
SOM-LWL method for identification of COVID-19 on chest X-rays
por: Osman, Ahmed Hamza, et al.
Publicado: (2021) -
Deep efficient-nets with transfer learning assisted detection of COVID-19 using chest X-ray radiology imaging
por: Mzoughi, Hiba, et al.
Publicado: (2023) -
Efficient Deep Network Architectures for Fast Chest X-Ray Tuberculosis Screening and Visualization
por: Pasa, F., et al.
Publicado: (2019)