Automatic lung segmentation in COVID-19 patients: Impact on quantitative computed tomography analysis

PURPOSE: To assess the impact of lung segmentation accuracy in an automatic pipeline for quantitative analysis of CT images. METHODS: Four different platforms for automatic lung segmentation based on convolutional neural network (CNN), region-growing technique and atlas-based algorithm were consider...

Descripción completa

Detalles Bibliográficos
Autores principales: Berta, L., Rizzetto, F., De Mattia, C., Lizio, D., Felisi, M., Colombo, P.E., Carrazza, S., Gelmini, S., Bianchi, L., Artioli, D., Travaglini, F., Vanzulli, A., Torresin, A.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Associazione Italiana di Fisica Medica. Published by Elsevier Ltd. 2021
Materias:
Original Paper
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9188767/
https://www.ncbi.nlm.nih.gov/pubmed/34139383
http://dx.doi.org/10.1016/j.ejmp.2021.06.001

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9188767/
https://www.ncbi.nlm.nih.gov/pubmed/34139383
http://dx.doi.org/10.1016/j.ejmp.2021.06.001

Ejemplares similares