  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.
