Cargando…
Deep learning framework for prediction of infection severity of COVID-19
With the onset of the COVID-19 pandemic, quantifying the condition of positively diagnosed patients is of paramount importance. Chest CT scans can be used to measure the severity of a lung infection and the isolate involvement sites in order to increase awareness of a patient's disease progress...
Autores principales: | Yousefzadeh, Mehdi, Hasanpour, Masoud, Zolghadri, Mozhdeh, Salimi, Fatemeh, Yektaeian Vaziri, Ava, Mahmoudi Aqeel Abadi, Abolfazl, Jafari, Ramezan, Esfahanian, Parsa, Nazem-Zadeh, Mohammad-Reza |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2022
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9428758/ https://www.ncbi.nlm.nih.gov/pubmed/36059818 http://dx.doi.org/10.3389/fmed.2022.940960 |
Ejemplares similares
-
Statistical analysis of COVID-19 infection severity in lung lobes from chest CT
por: Yousefzadeh, Mehdi, et al.
Publicado: (2022) -
A Preliminary Study of Alterations in Iron Disposal and Neural Activity in Ischemic Stroke
por: Mahmoudi Aqeel-Abadi, Abolfazl, et al.
Publicado: (2022) -
ai-corona: Radiologist-assistant deep learning framework for COVID-19 diagnosis in chest CT scans
por: Yousefzadeh, Mehdi, et al.
Publicado: (2021) -
Correction: ai-corona: Radiologist-assistant deep learning framework for COVID-19 diagnosis in chest CT scans
por: Yousefzadeh, Mehdi, et al.
Publicado: (2021) -
Lipophilic tracer Dil and fluorescence labeling of acridine orange used for Leishmania major tracing in the fibroblast cells
por: Yektaeian, Narjes, et al.
Publicado: (2019)