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Dual consistent pseudo label generation for multi-source domain adaptation without source data for medical image segmentation
INTRODUCTION: Unsupervised domain adaptation (UDA) aims to adapt a model learned from the source domain to the target domain. Thus, the model can obtain transferable knowledge even in target domain that does not have ground truth in this way. In medical image segmentation scenarios, there exist dive...
| Autores principales: | , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Frontiers Media S.A.
2023
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10330808/ https://www.ncbi.nlm.nih.gov/pubmed/37434767 http://dx.doi.org/10.3389/fnins.2023.1209132 |