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

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

Abstract 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...

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Bibliographic Details
Main Authors: Judah Zammit, Daryl L. X. Fung, Qian Liu, Carson Kai-Sang Leung, Pingzhao Hu
Format: Article
Language:English
Published: BMC 2022-08-01
Series:BMC Bioinformatics
Subjects:
Semi-supervised learning
Convolutional network
Image segmentation
COVID-19
Computed tomography
Online Access:https://doi.org/10.1186/s12859-022-04878-6

Internet

https://doi.org/10.1186/s12859-022-04878-6

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