AIBullisharXiv – CS AI · 9h ago6/10
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TimeLesSeg: Unified Contrast-Agnostic Cross-Sectional and Longitudinal MS Lesion Segmentation via a Stochastic Generative Model
TimeLesSeg introduces a unified deep learning framework for segmenting Multiple Sclerosis lesions that works across different imaging contrasts and with or without temporal data. The model uses stochastic generative techniques and domain randomization to address the fragmentation between cross-sectional and longitudinal segmentation approaches, demonstrating superior performance on multiple datasets.