Automated Lung Segmentation from Computed Tomography Images of Normal and COVID-19 Pneumonia Patients

BACKGROUND: Automated image segmentation is an essential step in quantitative image analysis. This study assesses the performance of a deep learning-based model for lung segmentation from computed tomography (CT) images of normal and COVID-19 patients. METHODS: A descriptive-analytical study was con...

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Detalles Bibliográficos
Autores principales: Gholamiankhah, Faeze, Mostafapour, Samaneh, Abdi Goushbolagh, Nouraddin, Shojaerazavi, Seyedjafar, Layegh, Parvaneh, Tabatabaei, Seyyed Mohammad, Arabi, Hossein
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Shiraz University of Medical Sciences 2022
Materias:
Original Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9445870/
https://www.ncbi.nlm.nih.gov/pubmed/36117575
http://dx.doi.org/10.30476/IJMS.2022.90791.2178

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9445870/
https://www.ncbi.nlm.nih.gov/pubmed/36117575
http://dx.doi.org/10.30476/IJMS.2022.90791.2178

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