Healthy versus pathological learning transferability in shoulder muscle MRI segmentation using deep convolutional encoder-decoders

Pierre-Henri Conze (1, 2) , Sylvain Brochard (2, 3, 4) , Valérie Burdin (1, 2) , Frances T Sheehan-Gavelli (5) , Christelle Pons (2, 3, 4)

1 IMT Atlantique - ITI - Département lmage et Traitement Information
2 LaTIM - Laboratoire de Traitement de l'Information Medicale
3 CHU Brest - Service de médecine physique - CHRU Brest - Service de médecine physique et de réadaptation
4 ILDYS - Fondation ILDYS
5 NIH - National Institutes of Health [Bethesda, MD, USA]

Domaines: Traitement des images [eess.IV]; Imagerie médicale; Traitement du signal et de l'image [eess.SP]

Pierre-Henri Conze, Sylvain Brochard, Valérie Burdin, Frances T Sheehan-Gavelli, Christelle Pons. Healthy versus pathological learning transferability in shoulder muscle MRI segmentation using deep convolutional encoder-decoders. Computerized Medical Imaging and Graphics, 2020, 83 (101733), ⟨10.1016/j.compmedimag.2020.101733⟩. ⟨hal-02561032⟩