Cargando…
Toward understanding COVID-19 pneumonia: a deep-learning-based approach for severity analysis and monitoring the disease
We report a new approach using artificial intelligence (AI) to study and classify the severity of COVID-19 using 1208 chest X-rays (CXRs) of 396 COVID-19 patients obtained through the course of the disease at Emory Healthcare affiliated hospitals (Atlanta, GA, USA). Using a two-stage transfer learni...
Autores principales: | Zandehshahvar, Mohammadreza, van Assen, Marly, Maleki, Hossein, Kiarashi, Yashar, De Cecco, Carlo N., Adibi, Ali |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2021
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8159925/ https://www.ncbi.nlm.nih.gov/pubmed/34045510 http://dx.doi.org/10.1038/s41598-021-90411-3 |
Ejemplares similares
-
Artificial intelligence for advanced analysis of coronary plaque
por: van Assen, Marly, et al.
Publicado: (2023) -
Evaluation of pericoronary adipose tissue attenuation on CT
por: Ma, Runlei, et al.
Publicado: (2023) -
ShapeShop: Towards Understanding Deep Learning Representations via Interactive Experimentation
por: Hohman, Fred, et al.
Publicado: (2017) -
Effect of Tricalcium Magnesium Silicate Coating on the Electrochemical and Biological Behavior of Ti-6Al-4V Alloys
por: Maleki-Ghaleh, Hossein, et al.
Publicado: (2015) -
Predicting COVID-19 Pneumonia Severity on Chest X-ray With Deep Learning
por: Cohen, Joseph Paul, et al.
Publicado: (2020)