Visual transformer and deep CNN prediction of high-risk COVID-19 infected patients using fusion of CT images and clinical data

BACKGROUND: Despite the globally reducing hospitalization rates and the much lower risks of Covid-19 mortality, accurate diagnosis of the infection stage and prediction of outcomes are clinically of interest. Advanced current technology can facilitate automating the process and help identifying thos...

Descripción completa

Detalles Bibliográficos
Autores principales: Tehrani, Sara Saberi Moghadam, Zarvani, Maral, Amiri, Paria, Ghods, Zahra, Raoufi, Masoomeh, Safavi-Naini, Seyed Amir Ahmad, Soheili, Amirali, Gharib, Mohammad, Abbasi, Hamid
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2023
Materias:
Research
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10656999/
https://www.ncbi.nlm.nih.gov/pubmed/37978393
http://dx.doi.org/10.1186/s12911-023-02344-8

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10656999/
https://www.ncbi.nlm.nih.gov/pubmed/37978393
http://dx.doi.org/10.1186/s12911-023-02344-8

Ejemplares similares