How Sensitive Are Deep Learning Based Radiotherapy Dose Prediction Models To Variability In Organs At Risk Segmentation?

Kamath, Amith; Poel, Robert; Willmann, Jonas; Andratschke, Nicolaus; Reyes, Mauricio (2023). How Sensitive Are Deep Learning Based Radiotherapy Dose Prediction Models To Variability In Organs At Risk Segmentation? In: 2023 IEEE 20th International Symposium on Biomedical Imaging (ISBI) (pp. 1-4). IEEE 10.1109/ISBI53787.2023.10230559

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Item Type:	Conference or Workshop Item (Paper)
Division/Institute:	10 Strategic Research Centers > ARTORG Center for Biomedical Engineering Research > ARTORG Center - AI in Medical Imaging Laboratory 10 Strategic Research Centers > ARTORG Center for Biomedical Engineering Research > ARTORG Center - Medical Image Analysis 04 Faculty of Medicine > Department of Haematology, Oncology, Infectious Diseases, Laboratory Medicine and Hospital Pharmacy (DOLS) > Clinic of Radiation Oncology 10 Strategic Research Centers > ARTORG Center for Biomedical Engineering Research
UniBE Contributor:	Kamath, Amith Jagannath, Poel, Robert, Reyes, Mauricio
Subjects:	500 Science > 570 Life sciences; biology 600 Technology > 610 Medicine & health
ISBN:	978-1-6654-7358-3
Publisher:	IEEE
Language:	English
Submitter:	Basak Ginsbourger
Date Deposited:	16 Nov 2023 12:37
Last Modified:	16 Nov 2023 12:37
Publisher DOI:	10.1109/ISBI53787.2023.10230559
URI:	https://boris.unibe.ch/id/eprint/188982