AI-driven quantification of ground glass opacities in lungs of COVID-19 patients using 3D computed tomography imaging

OBJECTIVES: Ground-glass opacity (GGO)—a hazy, gray appearing density on computed tomography (CT) of lungs—is one of the hallmark features of SARS-CoV-2 in COVID-19 patients. This AI-driven study is focused on segmentation, morphology, and distribution patterns of GGOs. METHOD: We use an AI-driven u...

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Detalles Bibliográficos
Autores principales: Saha, Monjoy, Amin, Sagar B., Sharma, Ashish, Kumar, T. K. Satish, Kalia, Rajiv K.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2022
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8920286/
https://www.ncbi.nlm.nih.gov/pubmed/35286309
http://dx.doi.org/10.1371/journal.pone.0263916

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8920286/
https://www.ncbi.nlm.nih.gov/pubmed/35286309
http://dx.doi.org/10.1371/journal.pone.0263916

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