Supervised and weakly supervised deep learning models for COVID-19 CT diagnosis: A systematic review

Artificial intelligence (AI) and computer vision (CV) methods become reliable to extract features from radiological images, aiding COVID-19 diagnosis ahead of the pathogenic tests and saving critical time for disease management and control. Thus, this review article focuses on cascading numerous dee...

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Detalles Bibliográficos
Autores principales: Hassan, Haseeb, Ren, Zhaoyu, Zhou, Chengmin, Khan, Muazzam A., Pan, Yi, Zhao, Jian, Huang, Bingding
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier B.V. 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8897838/
https://www.ncbi.nlm.nih.gov/pubmed/35286874
http://dx.doi.org/10.1016/j.cmpb.2022.106731

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8897838/
https://www.ncbi.nlm.nih.gov/pubmed/35286874
http://dx.doi.org/10.1016/j.cmpb.2022.106731

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