TimeLesSeg delivers a unified contrast-agnostic CNN for MS lesion segmentation that seamlessly handles both cross-sectional and longitudinal inputs by combining empty prior masks with stochastic morphological deformation of lesions during training.
Geodesic Information Flows: Spatially-Variant Graphs and Their Application to Segmentation and Fusion
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TimeLesSeg: Unified Contrast-Agnostic Cross-Sectional and Longitudinal MS Lesion Segmentation via a Stochastic Generative Model
TimeLesSeg delivers a unified contrast-agnostic CNN for MS lesion segmentation that seamlessly handles both cross-sectional and longitudinal inputs by combining empty prior masks with stochastic morphological deformation of lesions during training.