Robustly segmenting quadriceps muscles of ultra-endurance athletes with weakly supervised U-Net

Apr 17, 2019 MIDL 2019 Conference Abstract Submission readers: everyone Show Bibtex
  • Keywords: unet, weakly supervised, medical image segmentation
  • TL;DR: Segmentation of quadriceps muscle heads with UNet and corrective learning
  • 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 signi cantly the computation time.
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