Self-supervised region-aware segmentation of COVID-19 CT images using 3D GAN and contrastive learning

Medical image segmentation is a key initial step in several therapeutic applications. While most of the automatic segmentation models are supervised, which require a well-annotated paired dataset, we introduce a novel annotation-free pipeline to perform segmentation of COVID-19 CT images. Our pipeli...

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Detalles Bibliográficos
Autores principales: Shabani, Siyavash, Homayounfar, Morteza, Vardhanabhuti, Varut, Nikouei Mahani, Mohammad-Ali, Koohi-Moghadam, Mohamad
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier Ltd. 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9419627/
https://www.ncbi.nlm.nih.gov/pubmed/36041270
http://dx.doi.org/10.1016/j.compbiomed.2022.106033

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9419627/
https://www.ncbi.nlm.nih.gov/pubmed/36041270
http://dx.doi.org/10.1016/j.compbiomed.2022.106033

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