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

Complete list of metadatas

https://hal-imt-atlantique.archives-ouvertes.fr/hal-02448027
Contributor : Valérie Burdin <>
Submitted on : Tuesday, January 21, 2020 - 11:25:53 PM
Last modification on : Wednesday, June 24, 2020 - 4:19:49 PM

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

Identifiers

Collections

Citation

Export

Metrics

74

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

Identifiers

Collections

Citation

Export

Share

Metrics

74