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1 Ergebnisse
1
Self-Supervised Learning for Organs At Risk and Tumor Segme..:
, In:
2023 3rd International Conference on Electrical, Computer, Communications and Mechatronics Engineering (ICECCME)
,
Isler, Ilkin
;
Jha, Debesh
;
Lisle, Curtis
... - p. 1-6 , 2023
Link:
https://doi.org/10.1109/ICECCME57830.2023.10252269
RT T1 <cTitle>2023 3rd International Conference on Electrical, Computer, Communications and Mechatronics Engineering (ICECCME)</cTitle>: T1 <Title>Self-Supervised Learning for Organs At Risk and Tumor Segmentation with Uncertainty Quantification</Title> UL https://suche.suub.uni-bremen.de/peid=ieee-10252269&Exemplar=1&LAN=DE A1 Isler, Ilkin A1 Jha, Debesh A1 Lisle, Curtis A1 Rineer, Justin A1 Kelly, Patrick A1 Aydogan, Bulent A1 Abazeed, Mohamed A1 Turgut, Damla A1 Bagci, Ulas YR 2023 K1 Image segmentation K1 Uncertainty K1 Monte Carlo methods K1 Computational modeling K1 Lung cancer K1 Predictive models K1 Transformers K1 Deep learning K1 Organs at risk K1 Self-supervised learning K1 Swin Transformer K1 Uncertainty quantification SP 1 OP 6 LK http://dx.doi.org/https://doi.org/10.1109/ICECCME57830.2023.10252269 DO https://doi.org/10.1109/ICECCME57830.2023.10252269 SF ELIB - SuUB Bremen
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