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Automatic segmentation of spinal cord lesions in MS: A robust tool for axial T2-weighted MRI scans

2025-01-23

Abstract excerpt

Deep learning models have achieved remarkable success in segmenting brain white matter lesions in multiple sclerosis (MS), becoming integral to both research and clinical workflows. While brain lesions have gained significant attention in MS research, the involvement of spinal cord lesions in MS is relatively understudied. This is largely owed to the variability in spinal cord magnetic resonance imaging (MRI) acqu...

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Literature Corpus work
d085bd34-2c5c-5496-bdd0-fab56ec80f4f
DOI
10.1101/2025.01.22.25320959
Open publication

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Automatic segmentation of spinal cord lesions in MS: A robust tool for axial T2-weighted MRI scansDOI 10.1101/2025.01.22.25320959
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