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are feasible and allow detection of differences in labrum volume among different hip deformities: A pilot study (Unpublished).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 > Department of Orthopaedic, Plastic and Hand Surgery (DOPH) > Clinic of Orthopaedic Surgery
08 Faculty of Science > School of Biomedical and Precision Engineering (SBPE)
04 Faculty of Medicine > Department of Radiology, Neuroradiology and Nuclear Medicine (DRNN) > Institute of Diagnostic, Interventional and Paediatric Radiology
08 Faculty of Science > School of Biomedical and Precision Engineering (SBPE) > Personalised Medicine

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:

09 May 2024 11:07

Additional Information:

Prize for best oral presentation

URI:

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

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