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

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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 > 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 and 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:

06 Dec 2021 07:46

Related URLs:

BORIS DOI:

10.48350/161297

URI:

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

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