Deep Learning Based Fully Automated 3D Models of Hip Labrum based on MR arthrography are feasible and allow detection of differences in labrum volume among different hip deformities: A pilot study

Meier, Malin Kristin; Zeng, Guodong; Boschung, A; Lerch, Till; Burger, Jürgen; Gerber, Nicolas; Siebenrock, Klaus-Arno; Tannast, Moritz; Steppacher, Simon Damian; Schmaranzer, Florian (June 2022). Deep Learning Based Fully Automated 3D Models of Hip Labrum based on MR arthrography are feasible and allow detection of differences in labrum volume among different hip deformities: A pilot study (Unpublished). In: ESSR Annual Scientific Meeting (European Society of Musculoskeletal Radiology).

Item Type:

Conference or Workshop Item (Abstract)

Division/Institute:

04 Faculty of Medicine > Faculty Institutions > sitem Center for Translational Medicine and Biomedical Entrepreneurship
04 Faculty of Medicine > Department of Orthopaedic, Plastic and Hand Surgery (DOPH) > Clinic of Orthopaedic Surgery
04 Faculty of Medicine > Department of Radiology, Neuroradiology and Nuclear Medicine (DRNN) > Institute of Diagnostic, Interventional and Paediatric Radiology

UniBE Contributor:

Meier, Malin Kristin, Zeng, Guodong, Lerch, Till, Burger, Jürgen, Gerber, Nicolas, Siebenrock, Klaus-Arno, Steppacher, Simon Damian, Schmaranzer, Florian

Subjects:

600 Technology > 610 Medicine & health

Language:

English

Submitter:

Maria de Fatima Henriques Bernardo

Date Deposited:

17 Nov 2022 16:05

Last Modified:

05 Dec 2022 16:28

Additional Information:

Prize for best oral presentation

URI:

https://boris.unibe.ch/id/eprint/174845

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