Semi-supervised COVID-19 CT image segmentation using deep generative models

BACKGROUND: A recurring problem in image segmentation is a lack of labelled data. This problem is especially acute in the segmentation of lung computed tomography (CT) of patients with Coronavirus Disease 2019 (COVID-19). The reason for this is simple: the disease has not been prevalent long enough...

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Detalles Bibliográficos
Autores principales: Zammit, Judah, Fung, Daryl L. X., Liu, Qian, Leung, Carson Kai-Sang, Hu, Pingzhao
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2022
Materias:
Methodology
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9381397/
https://www.ncbi.nlm.nih.gov/pubmed/35974325
http://dx.doi.org/10.1186/s12859-022-04878-6

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9381397/
https://www.ncbi.nlm.nih.gov/pubmed/35974325
http://dx.doi.org/10.1186/s12859-022-04878-6

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