MIDCAN: A multiple input deep convolutional attention network for Covid-19 diagnosis based on chest CT and chest X-ray

BACKGROUND: COVID-19 has caused 3.34m deaths till 13/May/2021. It is now still causing confirmed cases and ongoing deaths every day. METHOD: This study investigated whether fusing chest CT with chest X-ray can help improve the AI's diagnosis performance. Data harmonization is employed to make a...

Descripción completa

Detalles Bibliográficos
Autores principales: Zhang, Yu-Dong, Zhang, Zheng, Zhang, Xin, Wang, Shui-Hua
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier B.V. 2021
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8277963/
https://www.ncbi.nlm.nih.gov/pubmed/34276114
http://dx.doi.org/10.1016/j.patrec.2021.06.021

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8277963/
https://www.ncbi.nlm.nih.gov/pubmed/34276114
http://dx.doi.org/10.1016/j.patrec.2021.06.021

Ejemplares similares