Robustly segmenting quadriceps muscles of ultra-endurance athletes with weakly supervised U-Net - Archive ouverte HAL
Pré-Publication, Document De Travail Année : 2020

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

P. Croisille
Sarah Leclerc
Sylvain Grange
  • Fonction : Auteur
Rémy Grange
  • Fonction : Auteur

Résumé

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.

Dates et versions

hal-02998055 , version 1 (10-11-2020)

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Citer

Hoai-Thu Nguyen, P. Croisille, Magalie Viallon, Sarah Leclerc, Sylvain Grange, et al.. Robustly segmenting quadriceps muscles of ultra-endurance athletes with weakly supervised U-Net. 2020. ⟨hal-02998055⟩
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