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1 Ergebnisse
1
How Sensitive Are Deep Learning Based Radiotherapy Dose Pre..:
, In:
2023 IEEE 20th International Symposium on Biomedical Imaging (ISBI)
,
Kamath, Amith
;
Poel, Robert
;
Willmann, Jonas
.. - p. 1-4 , 2023
Link:
https://doi.org/10.1109/ISBI53787.2023.10230559
RT T1 <cTitle>2023 IEEE 20th International Symposium on Biomedical Imaging (ISBI)</cTitle>: T1 <Title>How Sensitive Are Deep Learning Based Radiotherapy Dose Prediction Models To Variability In Organs At Risk Segmentation?</Title> UL https://suche.suub.uni-bremen.de/peid=ieee-10230559&Exemplar=1&LAN=DE A1 Kamath, Amith A1 Poel, Robert A1 Willmann, Jonas A1 Andratschke, Nicolaus A1 Reyes, Mauricio YR 2023 SN 1945-8452 K1 Sensitivity K1 Quality assurance K1 Three-dimensional displays K1 Protocols K1 Biological system modeling K1 Predictive models K1 Radiation therapy K1 Radiotherapy K1 Treatment Planning K1 Deep Learning K1 U-Net K1 Automated Dose Prediction SP 1 OP 4 LK http://dx.doi.org/https://doi.org/10.1109/ISBI53787.2023.10230559 DO https://doi.org/10.1109/ISBI53787.2023.10230559 SF ELIB - SuUB Bremen
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