Deep learning based fully automated 3D models of hip labrum based on MR arthrography are feasible and alow detection of differences in labrum volume among different hip deformities: A pilot study

Schmaranzer, Florian (April 2022). Deep learning based fully automated 3D models of hip labrum based on MR arthrography are feasible and alow detection of differences in labrum volume among different hip deformities: A pilot study (In Press). Skeletal radiology. Springer

Official URL: https://www.dgmsr.de/

Item Type:

Conference or Workshop Item (Abstract)

Division/Institute:

04 Faculty of Medicine > Department of Radiology, Neuroradiology and Nuclear Medicine (DRNN) > Institute of Diagnostic and Interventional Neuroradiology

UniBE Contributor:

Schmaranzer, Florian

Subjects:

600 Technology > 610 Medicine & health

ISSN:

0364-2348

Publisher:

Springer

Language:

English

Submitter:

Maria de Fatima Henriques Bernardo

Date Deposited:

21 Jan 2022 11:25

Last Modified:

05 Dec 2022 16:00

Additional Information:

Abstract will be published in "Skeletal radiology" (Springer)

URI:

https://boris.unibe.ch/id/eprint/163307

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