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Longitudinal tracking of multiple sclerosis lesions in the spinal cord: A validation study
Longitudinal characterization of multiple sclerosis (MS) lesions remains constrained by the lack of frameworks capable of establishing consistent instance-level correspondences across time. Conventional segmentation approaches produce semantic lesion masks at each visit and therefore fail to capture the complex instance temporal patterns associated with lesion appearance, disappearance, splitting, or merging. This study presents a comparative evaluation of five strategies for automated tracking of spinal cord MS lesions in longitudinal MRI data from a multi-site cohort. The investigated strate
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Evidence & attribution
- arXiv · AI, language, vision and robotics · 2026-09-08T20:24:31.000Z
First collected: 2026-09-20T19:52:05.078Z. This is not the publication date.