Machine Learning Enables Fast Automatic Bone Segmentation For 3D MRI-Based Hip Impingement Detection Using T1 VIBE DIXON Of The Pelvis

Boschung, Adam; Lerch, Till; Hanke, Markus; Steppacher, Simon; Siebenrock, Klaus-Arno; Tannast, Moritz; Schmaranzer, Florian; Gerber, Nicolas; Zeng, Guodong (June 2021). Machine Learning Enables Fast Automatic Bone Segmentation For 3D MRI-Based Hip Impingement Detection Using T1 VIBE DIXON Of The Pelvis. In: EFORT Congress (Virtual).

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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:

Boschung, Adam; Lerch, Till; Hanke, Markus; Steppacher, Simon Damian; Siebenrock, Klaus-Arno; Tannast, Moritz; Schmaranzer, Florian and Zeng, Guodong

Subjects:

600 Technology > 610 Medicine & health

Language:

English

Submitter:

Maria de Fatima Henriques Bernardo

Date Deposited:

20 Apr 2022 10:15

Last Modified:

20 Apr 2022 10:15

Additional Information:

ePoster

BORIS DOI:

10.48350/167419

URI:

https://boris.unibe.ch/id/eprint/167419

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