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.
@article{arxiv.1908.08294,
title = {Robustly segmenting quadriceps muscles of ultra-endurance athletes with weakly supervised U-Net},
author = {Hoai-Thu Nguyen and Pierre Croisille and Magalie Viallon and Sarah Leclerc and Sylvain Grange and Rémi Grange and Olivier Bernard and Thomas Grenier},
journal= {arXiv preprint arXiv:1908.08294},
year = {2019}
}