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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Xehetasun bibliografikoak
Argitaratua izan da:Domain Adapt Represent Transf Med Image Learn Less Labels Imperfect Data (2019)
Egile Nagusiak: 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
Formatua: Artigo
Hizkuntza:Inglês
Argitaratua: 2019
Gaiak:
Article
Sarrera elektronikoa: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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