Robust multi-atlas MRI segmentation with corrective learning for quantification of local quadriceps muscles inflammation changes during a longitudinal study in athletes - CNRS - Centre national de la recherche scientifique Accéder directement au contenu
Communication Dans Un Congrès Année : 2018

Robust multi-atlas MRI segmentation with corrective learning for quantification of local quadriceps muscles inflammation changes during a longitudinal study in athletes

Fichier non déposé

Dates et versions

hal-03006643 , version 1 (16-11-2020)

Identifiants

  • HAL Id : hal-03006643 , version 1

Citer

Hoai-Thu Nguyen, P. Croisille, Magalie Viallon, Charles de Bourguignon, Rémi Grange, et al.. Robust multi-atlas MRI segmentation with corrective learning for quantification of local quadriceps muscles inflammation changes during a longitudinal study in athletes. ISMRM, Jun 2018, Paris, France. ⟨hal-03006643⟩
33 Consultations
0 Téléchargements

Partager

Gmail Facebook X LinkedIn More