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1 Ergebnisse
1
2D and 2.5D Pancreas and Tumor Segmentation in Heterogeneou..:
, In:
2024 IEEE International Symposium on Medical Measurements and Applications (MeMeA)
,
Ferrara, Nicola
;
Andria, Gregorio
;
Scarpetta, Marco
... - p. 1-5 , 2024
Link:
https://doi.org/10.1109/MeMeA60663.2024.10596836
RT T1 <cTitle>2024 IEEE International Symposium on Medical Measurements and Applications (MeMeA)</cTitle>: T1 <Title>2D and 2.5D Pancreas and Tumor Segmentation in Heterogeneous CT Images of PDAC Patients</Title> UL https://suche.suub.uni-bremen.de/peid=ieee-10596836&Exemplar=1&LAN=DE A1 Ferrara, Nicola A1 Andria, Gregorio A1 Scarpetta, Marco A1 Lanzolla, Anna Maria Lucia A1 Attivissimo, Filippo A1 Di Nisio, Attilio A1 Ramos, Dayron YR 2024 SN 2837-5882 K1 Training K1 Deep learning K1 Image segmentation K1 Computed tomography K1 Pancreatic cancer K1 Proteomics K1 Robustness K1 medical images K1 tumor segmentation K1 pancreatic cancer SP 1 OP 5 LK http://dx.doi.org/https://doi.org/10.1109/MeMeA60663.2024.10596836 DO https://doi.org/10.1109/MeMeA60663.2024.10596836 SF ELIB - SuUB Bremen
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