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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...
| Autores principales: | , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Elsevier Ltd.
2023
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| Materias: | |
| 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 |