Cargando…
A lightweight network for COVID-19 detection in X-ray images
The Novel Coronavirus 2019 (COVID-19) is a global pandemic which has a devastating impact. Due to its quick transmission, a prominent challenge in confronting this pandemic is the rapid diagnosis. Currently, the commonly-used diagnosis is the specific molecular tests aided with the medical imaging m...
Autores principales: | Shi, Yong, Tang, Anda, Xiao, Yang, Niu, Lingfeng |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Elsevier Inc.
2023
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9706991/ https://www.ncbi.nlm.nih.gov/pubmed/36460228 http://dx.doi.org/10.1016/j.ymeth.2022.11.004 |
Ejemplares similares
-
A lightweight CORONA-NET for COVID-19 detection in X-ray images
por: Hadi, Muhammad Usman, et al.
Publicado: (2023) -
A lightweight CNN-based network on COVID-19 detection using X-ray and CT images
por: Huang, Mei-Ling, et al.
Publicado: (2022) -
Lightweight deep learning models for detecting COVID-19 from chest X-ray images
por: Karakanis, Stefanos, et al.
Publicado: (2021) -
A Lightweight Deep Network for Defect Detection of Insert Molding Based on X-ray Imaging
por: Wang, Benwu, et al.
Publicado: (2021) -
An Automated Lightweight Deep Neural Network for Diagnosis of COVID-19 from Chest X-ray Images
por: Nayak, Soumya Ranjan, et al.
Publicado: (2021)