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...

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Detalles Bibliográficos
Autores principales: Sarv Ahrabi, Sima, Momenzadeh, Alireza, Baccarelli, Enzo, Scarpiniti, Michele, Piazzo, Lorenzo
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer US 2022
Materias:
Article
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

Internet

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

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