Multi-domain Adaptation in Brain MRI Through Paired Consistency and Adversarial Learning

Supervised learning algorithms trained on medical images will often fail to generalize across changes in acquisition parameters. Recent work in domain adaptation addresses this challenge and successfully leverages labeled data in a source domain to perform well on an unlabeled target domain. Inspire...

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Vydáno v:Domain Adapt Represent Transf Med Image Learn Less Labels Imperfect Data (2019)
Hlavní autoři: Orbes-Arteaga, Mauricio, Varsavsky, Thomas, Sudre, Carole H., Eaton-Rosen, Zach, Haddow, Lewis J., Sørensen, Lauge, Nielsen, Mads, Pai, Akshay, Ourselin, Sébastien, Modat, Marc, Nachev, Parashkev, Cardoso, M. Jorge
Médium: Artigo
Jazyk:Inglês
Vydáno: 2019
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Article
On-line přístup:https://ncbi.nlm.nih.gov/pmc/articles/PMC7610933/
https://ncbi.nlm.nih.gov/pubmed/34109324
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1007/978-3-030-33391-1_7
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