Cargando…
Uncertainty-aware convolutional neural network for COVID-19 X-ray images classification
Deep learning (DL) has shown great success in the field of medical image analysis. In the wake of the current pandemic situation of SARS-CoV-2, a few pioneering works based on DL have made significant progress in automated screening of COVID-19 disease from the chest X-ray (CXR) images. But these DL...
Autores principales: | Gour, Mahesh, Jain, Sweta |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Elsevier Ltd.
2022
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8609674/ https://www.ncbi.nlm.nih.gov/pubmed/34847386 http://dx.doi.org/10.1016/j.compbiomed.2021.105047 |
Ejemplares similares
-
Automated COVID-19 detection from X-ray and CT images with stacked ensemble convolutional neural network
por: Gour, Mahesh, et al.
Publicado: (2022) -
XCOVNet: Chest X-ray Image Classification for COVID-19 Early Detection Using Convolutional Neural Networks
por: Madaan, Vishu, et al.
Publicado: (2021) -
A light-weight convolutional Neural Network Architecture for classification of COVID-19 chest X-Ray images
por: Masud, Mehedi
Publicado: (2022) -
Convolutional neural networks for the classification of chest X-rays in the IoT era
por: Almezhghwi, Khaled, et al.
Publicado: (2021) -
COVID-19 classification in X-ray chest images using a new convolutional neural network: CNN-COVID
por: de Sousa, Pedro Moisés, et al.
Publicado: (2021)