Clinical relevance of augmented statistical shape model of the scapula in the glenoid region

Asma Salhi; Valérie Burdin; Sylvain Brochard; Tinashe Mutsvangwa; Bhushan Borotikar

doi:10.1016/j.medengphy.2019.11.007

Journal articles

Clinical relevance of augmented statistical shape model of the scapula in the glenoid region

Asma Salhi ^{1, 2} Valérie Burdin ^{1, 2} Sylvain Brochard ^{3, 1} Tinashe Mutsvangwa ⁴ Bhushan Borotikar ^{5, 1}

1 LaTIM - Laboratoire de Traitement de l'Information Medicale

2 IMT Atlantique - ITI - Département lmage et Traitement Information

3 CHU - BREST - CHRU Brest - service de rééducation fonctionnelle

4 Division of Biomedical Engineering, Department of Human Biology, University of Cape Town, Cape Town - South Africa

5 CHU - BREST - Hôpital Morvan - CHRU de Brest

Document type :

Journal articles

Domain :

Life Sciences [q-bio] / Bioengineering / Imaging

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https://hal-imt-atlantique.archives-ouvertes.fr/hal-02448027
Contributor : Valérie Burdin Connect in order to contact the contributor
Submitted on : Tuesday, January 21, 2020 - 11:25:53 PM
Last modification on : Monday, April 4, 2022 - 9:28:21 AM

Clinical relevance of augmented statistical shape model of the scapula in the glenoid region

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Clinical relevance of augmented statistical shape model of the scapula in the glenoid region

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