arXiv · 1908.08294
Robustly segmenting quadriceps muscles of ultra-endurance athletes with weakly supervised U-Net
Abstract
In this study, segmentation of quadriceps muscle heads of ultra-endurance athletes was done using a multi-atlas segmentation and corrective leaning framework where the registration based multi-atlas segmentation step was replaced with weakly supervised U-Net. For the case with remarkably different morphology, our method produced improved accuracy, while reduced significantly the computation time.
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Hoai-Thu Nguyen, Pierre Croisille, Magalie Viallon, Sarah Leclerc, Sylvain Grange, Rémi Grange, Olivier Bernard, Thomas Grenier. 2019-08-22. Robustly segmenting quadriceps muscles of ultra-endurance athletes with weakly supervised U-Net. https://arxiv.org/abs/1908.08294
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