FSS-2019-nCov: A deep learning architecture for semi-supervised few-shot segmentation of COVID-19 infection

The newly discovered coronavirus (COVID-19) pneumonia is providing major challenges to research in terms of diagnosis and disease quantification. Deep-learning (DL) techniques allow extremely precise image segmentation; yet, they necessitate huge volumes of manually labeled data to be trained in a s...

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Detalles Bibliográficos
Autores principales: Abdel-Basset, Mohamed, Chang, Victor, Hawash, Hossam, Chakrabortty, Ripon K., Ryan, Michael
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier B.V. 2021
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7836902/
https://www.ncbi.nlm.nih.gov/pubmed/33519100
http://dx.doi.org/10.1016/j.knosys.2020.106647

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7836902/
https://www.ncbi.nlm.nih.gov/pubmed/33519100
http://dx.doi.org/10.1016/j.knosys.2020.106647

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