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A domain adaptation benchmark for T1-weighted brain magnetic resonance image segmentation

Accurate brain segmentation is critical for magnetic resonance imaging (MRI) analysis pipelines. Machine-learning-based brain MR image segmentation methods are among the state-of-the-art techniques for this task. Nevertheless, the segmentations produced by machine learning models often degrade in th...

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Detalles Bibliográficos
Autores principales: Saat, Parisa, Nogovitsyn, Nikita, Hassan, Muhammad Yusuf, Ganaie, Muhammad Athar, Souza, Roberto, Hemmati, Hadi
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9538795/
https://www.ncbi.nlm.nih.gov/pubmed/36213544
http://dx.doi.org/10.3389/fninf.2022.919779