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COVID-19 Lung Segmentation v2.0.0

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@RiccardoBiondi RiccardoBiondi released this 29 Sep 08:44
· 16 commits to master since this release

This is the official release for the JOSS paper status

Zenodo DOI

Full Documentation docs

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.