Deep learning for fully-automatic quantification of avascular necrosis of the femoral head on 3D hip MRI in young patients eligible for joint preserving hip surgery: A pilot study

Ruckli, Adrian; Lerch, Till; Boschung, Adam; Steppacher, Simon; Gerber, Nicolas; Gerber, Kate; Burger, Jürgen; Tannast, Moritz; Siebenrock, Klaus; Schmaranzer, Florian (April 2021). Deep learning for fully-automatic quantification of avascular necrosis of the femoral head on 3D hip MRI in young patients eligible for joint preserving hip surgery: A pilot study. Skeletal radiology, 50, p. 1060. Springer

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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
04 Faculty of Medicine > Faculty Institutions > sitem Center for Translational Medicine and Biomedical Entrepreneurship > Personalised Medicine

Graduate School:

Graduate School for Cellular and Biomedical Sciences (GCB)

UniBE Contributor:

Ruckli, Adrian Cyrill; Lerch, Till; Boschung, Adam; Steppacher, Simon Damian; Gerber, Nicolas; Gerber, Kate; Burger, Jürgen; Tannast, Moritz; Siebenrock, Klaus-Arno and Schmaranzer, Florian

Subjects:

600 Technology > 610 Medicine & health

ISSN:

0364-2348

Publisher:

Springer

Language:

English

Submitter:

Maria de Fatima Henriques Bernardo

Date Deposited:

22 Jun 2021 11:59

Last Modified:

17 Nov 2021 16:39

BORIS DOI:

10.48350/156967

URI:

https://boris.unibe.ch/id/eprint/156967

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