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 Cyrill; Vuilleumier, S; Boschung, A; Lerch, Till; Steppacher, Simon Damian; Tannast, Moritz; Siebenrock, Klaus-Arno; Burger, Jürgen; Gerber, Nicolas; Schmaranzer, Florian (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necrosis of the femoral head on 3D hip MRI in young patients eligible for joint preserving hip surgery: A pilot study (Unpublished). In: SCR'21.

Item Type:

Conference or Workshop Item (Poster)

Division/Institute:

04 Faculty of Medicine > Faculty Institutions > sitem Center for Translational Medicine and Biomedical Entrepreneurship
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04 Faculty of Medicine > Department of Orthopaedic, Plastic and Hand Surgery (DOPH) > Clinic of Orthopaedic Surgery
04 Faculty of Medicine > Department of Head Organs and Neurology (DKNS) > Clinic of Ear, Nose and Throat Disorders (ENT)
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

UniBE Contributor:

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

Subjects:

600 Technology > 610 Medicine & health

Language:

English

Submitter:

Maria de Fatima Henriques Bernardo

Date Deposited:

11 May 2021 08:50

Last Modified:

17 May 2021 16:56

Additional Information:

Online event

URI:

https://boris.unibe.ch/id/eprint/156214

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