Effectiveness of a state-of-the art neural network for liver parenchyma, portal and hepatic vein segmentation based on a standard non-contrast T1-vibe Dixon sequence

Zbinden, Lukas; Catucci, D; Suter, Yannick Raphael; Berzigotti, Annalisa; Ebner, Lukas; Christe, Andreas; Obmann, Verena Carola; Sznitman, Raphael; Huber, Adrian Thomas (July 2022). Effectiveness of a state-of-the art neural network for liver parenchyma, portal and hepatic vein segmentation based on a standard non-contrast T1-vibe Dixon sequence (Unpublished). In: ECR 2022.

Item Type:

Conference or Workshop Item (Abstract)

Division/Institute:

04 Faculty of Medicine > Department of Radiology, Neuroradiology and Nuclear Medicine (DRNN) > Institute of Diagnostic, Interventional and Paediatric Radiology
10 Strategic Research Centers > ARTORG Center for Biomedical Engineering Research
04 Faculty of Medicine > Department of Gastro-intestinal, Liver and Lung Disorders (DMLL) > Clinic of Visceral Surgery and Medicine > Hepatology

UniBE Contributor:

Zbinden, Lukas; Suter, Yannick Raphael; Berzigotti, Annalisa; Ebner, Lukas; Christe, Andreas; Obmann, Verena Carola; Sznitman, Raphael and Huber, Adrian Thomas

Subjects:

600 Technology > 610 Medicine & health
500 Science > 570 Life sciences; biology

Language:

English

Submitter:

Maria de Fatima Henriques Bernardo

Date Deposited:

18 Aug 2022 08:10

Last Modified:

18 Aug 2022 08:10

Additional Information:

Poster (electronic)

URI:

https://boris.unibe.ch/id/eprint/172087

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