The COVID-19 Lung Segmentation project provides a novel, unsupervised and fully auto- mated pipeline for the semantic segmentation of ground-glass opacity (GGO) areas in chest Computer Tomography (CT) scans of patients affected by COVID-19. In the project we provide a series of scripts and functions for the automated segmentation of lungs 3D areas, segmentation of GGO areas, and estimation of radiomic features.
Biondi, R., Curti, N., Giampieri, E., Castellani, G. (2021). COVID-19 Lung Segmentation. JOURNAL OF OPEN SOURCE SOFTWARE, 6(65), 1-3 [10.21105/joss.03447].
COVID-19 Lung Segmentation
Biondi, Riccardo;Curti, Nico;Giampieri, Enrico;Castellani, Gastone
2021
Abstract
The COVID-19 Lung Segmentation project provides a novel, unsupervised and fully auto- mated pipeline for the semantic segmentation of ground-glass opacity (GGO) areas in chest Computer Tomography (CT) scans of patients affected by COVID-19. In the project we provide a series of scripts and functions for the automated segmentation of lungs 3D areas, segmentation of GGO areas, and estimation of radiomic features.File in questo prodotto:
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