Automated deep learning-based segmentation of COVID-19 lesions from chest computed tomography images

PURPOSE: The novel coronavirus COVID-19, which spread globally in late December 2019, is a global health crisis. Chest computed tomography (CT) has played a pivotal role in providing useful information for clinicians to detect COVID-19. However, segmenting COVID-19-infected regions from chest CT res...

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Detalles Bibliográficos
Autores principales: Salehi, Mohammad, Ardekani, Mahdieh Afkhami, Taramsari, Alireza Bashari, Ghaffari, Hamed, Haghparast, Mohammad
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Termedia Publishing House 2022
Materias:
Original Paper
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9453472/
https://www.ncbi.nlm.nih.gov/pubmed/36091652
http://dx.doi.org/10.5114/pjr.2022.119027

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9453472/
https://www.ncbi.nlm.nih.gov/pubmed/36091652
http://dx.doi.org/10.5114/pjr.2022.119027

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