Prediction of COVID-19 - Pneumonia based on Selected Deep Features and One Class Kernel Extreme Learning Machine

In this work, we propose a deep learning framework for the classification of COVID-19 pneumonia infection from normal chest CT scans. In this regard, a 15-layered convolutional neural network architecture is developed which extracts deep features from the selected image samples – collected from the...

Descripción completa

Detalles Bibliográficos
Autores principales: Khan, Muhammad Attique, Kadry, Seifedine, Zhang, Yu-Dong, Akram, Tallha, Sharif, Muhammad, Rehman, Amjad, Saba, Tanzila
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier Ltd. 2021
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7832028/
https://www.ncbi.nlm.nih.gov/pubmed/33518824
http://dx.doi.org/10.1016/j.compeleceng.2020.106960

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7832028/
https://www.ncbi.nlm.nih.gov/pubmed/33518824
http://dx.doi.org/10.1016/j.compeleceng.2020.106960

Ejemplares similares