A teacher–student framework with Fourier Transform augmentation for COVID-19 infection segmentation in CT images

Automatic segmentation of infected regions in computed tomography (CT) images is necessary for the initial diagnosis of COVID-19. Deep-learning-based methods have the potential to automate this task but require a large amount of data with pixel-level annotations. Training a deep network with annotat...

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Detalles Bibliográficos
Autores principales: Chen, Han, Jiang, Yifan, Ko, Hanseok, Loew, Murray
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier Ltd. 2023
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9510070/
https://www.ncbi.nlm.nih.gov/pubmed/36188130
http://dx.doi.org/10.1016/j.bspc.2022.104250

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9510070/
https://www.ncbi.nlm.nih.gov/pubmed/36188130
http://dx.doi.org/10.1016/j.bspc.2022.104250

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