Clinical evaluation of a deep learning based auto-segmentation model for intracranial organs at risk

Poel, Robert; Rüfenacht, Elias; Fix, Michael; Scheib, Stefan; Reyes, Mauricio; Ermis, Ekin (May 2024). Clinical evaluation of a deep learning based auto-segmentation model for intracranial organs at risk. Radiotherapy and oncology, 194(1), S821-S822. Elsevier

Item Type:

Conference or Workshop Item (Poster)

Division/Institute:

04 Faculty of Medicine > Department of Haematology, Oncology, Infectious Diseases, Laboratory Medicine and Hospital Pharmacy (DOLS) > Clinic of Radiation Oncology
04 Faculty of Medicine > Department of Haematology, Oncology, Infectious Diseases, Laboratory Medicine and Hospital Pharmacy (DOLS) > Clinic of Radiation Oncology > Medical Radiation Physics
10 Strategic Research Centers > ARTORG Center for Biomedical Engineering Research

UniBE Contributor:

Poel, Robert, Rüfenacht, Elias, Fix, Michael, Reyes, Mauricio, Ermis, Ekin

Subjects:

600 Technology > 610 Medicine & health
500 Science > 530 Physics
500 Science > 570 Life sciences; biology

ISSN:

0167-8140

Publisher:

Elsevier

Language:

English

Submitter:

Basak Ginsbourger

Date Deposited:

08 Jul 2024 13:59

Last Modified:

08 Jul 2024 13:59

URI:

https://boris.unibe.ch/id/eprint/198649

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