Weakly unsupervised conditional generative adversarial network for image-based prognostic prediction for COVID-19 patients based on chest CT

Because of the rapid spread and wide range of the clinical manifestations of the coronavirus disease 2019 (COVID-19), fast and accurate estimation of the disease progression and mortality is vital for the management of the patients. Currently available image-based prognostic predictors for patients...

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Detalles Bibliográficos
Autores principales: Uemura, Tomoki, Näppi, Janne J., Watari, Chinatsu, Hironaka, Toru, Kamiya, Tohru, Yoshida, Hiroyuki
Formato: Online Artículo Texto
Lenguaje:English
Publicado: The Authors. Published by Elsevier B.V. 2021
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8272947/
https://www.ncbi.nlm.nih.gov/pubmed/34303892
http://dx.doi.org/10.1016/j.media.2021.102159

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8272947/
https://www.ncbi.nlm.nih.gov/pubmed/34303892
http://dx.doi.org/10.1016/j.media.2021.102159

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