Domain adaptation based self-correction model for COVID-19 infection segmentation in CT images

The capability of generalization to unseen domains is crucial for deep learning models when considering real-world scenarios. However, current available medical image datasets, such as those for COVID-19 CT images, have large variations of infections and domain shift problems. To address this issue,...

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Detalles Bibliográficos
Autores principales: Jin, Qiangguo, Cui, Hui, Sun, Changming, Meng, Zhaopeng, Wei, Leyi, Su, Ran
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier Ltd. 2021
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7954643/
https://www.ncbi.nlm.nih.gov/pubmed/33746369
http://dx.doi.org/10.1016/j.eswa.2021.114848

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7954643/
https://www.ncbi.nlm.nih.gov/pubmed/33746369
http://dx.doi.org/10.1016/j.eswa.2021.114848

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