Automatic shoulder bone segmentation from CT arthrograms based on deep learning

Hess, H.; Zumstein, M.; Dommer, L.; Schär, M.; Hayoz, A.; Zeng, G.; Ruckli, A.; Burger, J.; Gerber, N.; Gerber, K. (4 June 2021). Automatic shoulder bone segmentation from CT arthrograms based on deep learning. International Journal of Computer Assisted Radiology and Surgery, 16(S1), pp. 90-91. Springer

[img] Text
CARS2021_Hess_Automatic_shoulder_bone_segmentation_from_CT.pdf - Published Version
Restricted to registered users only
Available under License Publisher holds Copyright.
Download (432kB)

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

Graduate School:

 Graduate School for Cellular and Biomedical Sciences (GCB)

UniBE Contributor:

 Hess, Hanspeter, Zumstein, Matthias, Dommer, Lukas Mario, Schär, Michael, Hayoz, Annabel Martha, Zeng, Guodong, Ruckli, Adrian Cyrill, Burger, Jürgen, Gerber, Nicolas, Gerber, Kate

Subjects:

 600 Technology > 610 Medicine & health

ISSN:

 1861-6410

Publisher:

 Springer

Language:

 English

Submitter:

 Nicolas Gerber

Date Deposited:

 06 Dec 2021 07:46

Last Modified:

 05 Dec 2022 15:54

Related URLs:

BORIS DOI:

 10.48350/161297

URI:

 https://boris.unibe.ch/id/eprint/161297

Actions (login required)

Edit item Edit item
Provide Feedback