Comparison of domain adaptation techniques for white matter hyperintensity segmentation in brain MR images
Robust automated segmentation of white matter hyperintensities (WMHs) in different datasets (domains) is highly challenging due to differences in acquisition (scanner, sequence), population (WMH amount and location) and limited availability of manual segmentations to train supervised algorithms. In...
| Auteurs principaux: | , , , , , |
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| Format: | Journal article |
| Langue: | English |
| Publié: |
Elsevier
2021
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