Longitudinal Segmentation of MS Lesions via Temporal Difference
Weighting
Longitudinal Segmentation of MS Lesions via Temporal Difference
Weighting
Accurate segmentation of Multiple Sclerosis (MS) lesions in longitudinal MRI scans is crucial for monitoring disease progression and treatment efficacy. Although changes across time are taken into account when assessing images in clinical practice, most existing deep learning methods treat scans from different timepoints separately. Among studies utilizing longitudinal images, …