Grayscale Image Statistical Attributes Effectively Distinguish the Severity of Lung Abnormalities in CT Scan Slices of COVID-19 Patients

Grayscale statistical attributes analysed for 513 extract images taken from pulmonary computed tomography (CT) scan slices of 57 individuals (49 confirmed COVID-19 positive; eight confirmed COVID-19 negative) are able to accurately predict a visual score (VS from 0 to 4) used by a clinician to asses...

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Detalles Bibliográficos
Autores principales: Ghashghaei, Sara, Wood, David A., Sadatshojaei, Erfan, Jalilpoor, Mansooreh
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer Nature Singapore 2023
Materias:
Original Research
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9912234/
https://www.ncbi.nlm.nih.gov/pubmed/36789248
http://dx.doi.org/10.1007/s42979-022-01642-8

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9912234/
https://www.ncbi.nlm.nih.gov/pubmed/36789248
http://dx.doi.org/10.1007/s42979-022-01642-8

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