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How much BiGAN and CycleGAN-learned hidden features are effective for COVID-19 detection from CT images? A comparative study
Bidirectional generative adversarial networks (BiGANs) and cycle generative adversarial networks (CycleGANs) are two emerging machine learning models that, up to now, have been used as generative models, i.e., to generate output data sampled from a target probability distribution. However, these mod...
| Autores principales: | , , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Springer US
2022
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9411851/ https://www.ncbi.nlm.nih.gov/pubmed/36042937 http://dx.doi.org/10.1007/s11227-022-04775-y |