COVID-19 Lung Segmentation - COVID-19 Lung Segmentation v2.0.0

This is the official release for the JOSS paper

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Authors

• name: Riccardo Biondi^[co-first author] orcid: 0000-0003-0872-7098 affiliation: 1
• name: Nico Curti^[co-first author] orcid: 0000-0001-5802-1195 affiliation: 2
• name: Enrico Giampieri orcid: 0000-0003-2269-2338 affiliation: 2
• name: Gastone Castellani orcid: 0000-0003-4892-925X affiliation: 1

This package allows to isolate the lung region and identify ground glass lesions on chest CT scans of patients affected by COVID-19. The segmentation approach is based on color quantization, performed by K-means clustering. This package provides a series of scripts to isolate lung regions, pre-process the images, estimate K-means centroids and labels of the lung regions.

Scientific Software - Peer-reviewed - Python
Published by RiccardoBiondi over 4 years ago