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1 Ergebnisse
1
EndoUNet: A Unified Model for Anatomical Site Classificatio..:
, In:
2022 14th International Conference on Knowledge and Systems Engineering (KSE)
,
Manh, Nguyen Duy
;
Hang, Dao Viet
;
Long, Dao Van
... - p. 1-6 , 2022
Link:
https://doi.org/10.1109/KSE56063.2022.9953766
RT T1 <cTitle>2022 14th International Conference on Knowledge and Systems Engineering (KSE)</cTitle>: T1 <Title>EndoUNet: A Unified Model for Anatomical Site Classification, Lesion Categorization and Segmentation for Upper Gastrointestinal Endoscopy</Title> UL https://suche.suub.uni-bremen.de/peid=ieee-9953766&Exemplar=1&LAN=DE A1 Manh, Nguyen Duy A1 Hang, Dao Viet A1 Long, Dao Van A1 Hung, Le Quang A1 Khanh, Pham Cong A1 Oanh, Nguyen Thi A1 Thuy, Nguyen Thi A1 Sang, Dinh Viet YR 2022 SN 2694-4804 K1 Training K1 Knowledge engineering K1 Image segmentation K1 Endoscopes K1 Multitasking K1 Data models K1 Gastrointestinal tract SP 1 OP 6 LK http://dx.doi.org/https://doi.org/10.1109/KSE56063.2022.9953766 DO https://doi.org/10.1109/KSE56063.2022.9953766 SF ELIB - SuUB Bremen
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