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, M; Zeng, G; Lerch, Till; Gerber, N; Siebenrock, Klaus-Arno; 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are Feasible and Allow Detection of Differences in Labrum Volume among Different Hip deformities: A Pilot Study (Unpublished).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: SCR (Swiss Congress of Radiology).

Item Type:

Conference or Workshop Item (Speech)

Division/Institute:

04 Faculty of Medicine > Department of Radiology, Neuroradiology and Nuclear Medicine (DRNN) > Institute of Diagnostic, Interventional and Paediatric Radiology
04 Faculty of Medicine > Department of Radiology, Neuroradiology and Nuclear Medicine (DRNN) > Institute of Diagnostic and Interventional Neuroradiology
04 Faculty of Medicine > Department of Orthopaedic, Plastic and Hand Surgery (DOPH) > Clinic of Orthopaedic Surgery

UniBE Contributor:

Lerch, Till, Siebenrock, Klaus-Arno, Steppacher, Simon Damian, Schmaranzer, Florian

Subjects:

600 Technology > 610 Medicine & health

Language:

English

Submitter:

Maria de Fatima Henriques Bernardo

Date Deposited:

20 Apr 2022 09:35

Last Modified:

05 Dec 2022 16:07

Additional Information:

Oral presentation

URI:

https://boris.unibe.ch/id/eprint/165338

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