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CoSinGAN: Learning COVID-19 Infection Segmentation from a Single Radiological Image
Computed tomography (CT) images are currently being adopted as the visual evidence for COVID-19 diagnosis in clinical practice. Automated detection of COVID-19 infection from CT images based on deep models is important for faster examination. Unfortunately, collecting large-scale training data syste...
| Autores principales: | , , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
MDPI
2020
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7693680/ https://www.ncbi.nlm.nih.gov/pubmed/33153105 http://dx.doi.org/10.3390/diagnostics10110901 |