Attentive Continuous Generative Self-training for Unsupervised Domain Adaptive Medical Image Translation

Self-training is an important class of unsupervised domain adaptation (UDA) approaches that are used to mitigate the problem of domain shift, when applying knowledge learned from a labeled source domain to unlabeled and heterogeneous target domains. While self-training-based UDA has shown considerab...

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Detalles Bibliográficos
Autores principales: Liu, Xiaofeng, Prince, Jerry L., Xing, Fangxu, Zhuo, Jiachen, Reese, Timothy, Stone, Maureen, El Fakhri, Georges, Woo, Jonghye
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Cornell University 2023
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10246114/
https://www.ncbi.nlm.nih.gov/pubmed/37292465

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10246114/
https://www.ncbi.nlm.nih.gov/pubmed/37292465

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