UNAS-Net: A deep convolutional neural network for predicting Covid-19 severity

We present a study on Covid-19 detection using deep learning algorithms that help predict and detect Covid-19. Chest X-ray images were used as the input dataset to prepare and train the proposed model. In this context, deep learning architecture (DLA) and optimisation strategies have been proposed a...

Descripción completa

Detalles Bibliográficos
Autores principales: Syarif, Abdusy, Azman, Novi, Ronal Repi, Viktor Vekky, Sinaga, Ernawati, Asvial, Muhamad
Formato: Online Artículo Texto
Lenguaje:English
Publicado: The Authors. Published by Elsevier Ltd. 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8730381/
https://www.ncbi.nlm.nih.gov/pubmed/35018298
http://dx.doi.org/10.1016/j.imu.2021.100842

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8730381/
https://www.ncbi.nlm.nih.gov/pubmed/35018298
http://dx.doi.org/10.1016/j.imu.2021.100842

Ejemplares similares