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

Boschung, Adam; Ruckli, Adrian; Lerch, Till; Steppacher, Simon; Gerber, Nicolas; Gerber, Kate; Burger, Jürgen; Tannast, Moritz; Siebenrock, Klaus-Arno; Schmaranzer, Florian (June 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. In: EFORT Virtual Congress (European Federation of Orthopaedics and Traumatology).

[img] Text
DeepLearning.pdf - Published Version
Restricted to registered users only
Available under License Publisher holds Copyright.

Download (105kB)
Official URL: https://vec.efort.org/

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
04 Faculty of Medicine > Faculty Institutions > sitem Center for Translational Medicine and Biomedical Entrepreneurship
04 Faculty of Medicine > Department of Radiology, Neuroradiology and Nuclear Medicine (DRNN) > Institute of Diagnostic, Interventional and Paediatric Radiology

UniBE Contributor:

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

Subjects:

600 Technology > 610 Medicine & health

Language:

English

Submitter:

Maria de Fatima Henriques Bernardo

Date Deposited:

20 Apr 2022 10:08

Last Modified:

05 Dec 2022 16:15

Additional Information:

ePoster

BORIS DOI:

10.48350/167416

URI:

https://boris.unibe.ch/id/eprint/167416

Actions (login required)

Edit item Edit item
Provide Feedback