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...
Main Authors: | Parisa Saat, Nikita Nogovitsyn, Muhammad Yusuf Hassan, Muhammad Athar Ganaie, Roberto Souza, Hadi Hemmati |
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Format: | Article |
Language: | English |
Published: |
Frontiers Media S.A.
2022-09-01
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Series: | Frontiers in Neuroinformatics |
Subjects: | |
Online Access: | https://www.frontiersin.org/articles/10.3389/fninf.2022.919779/full |
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