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1 Ergebnisse
1
Can Synthetic Data Improve Multi-Class Counting of Surgical..:
, In:
2022 International Conference on Digital Image Computing: Techniques and Applications (DICTA)
,
Ireland, James
;
Radwan, Ibrahim
;
Herath, Damith
. - p. 1-7 , 2022
Link:
https://doi.org/10.1109/DICTA56598.2022.10034591
RT T1
2022 International Conference on Digital Image Computing: Techniques and Applications (DICTA)
: T1
Can Synthetic Data Improve Multi-Class Counting of Surgical Instruments?
UL https://suche.suub.uni-bremen.de/peid=ieee-10034591&Exemplar=1&LAN=DE A1 Ireland, James A1 Radwan, Ibrahim A1 Herath, Damith A1 Goecke, Roland YR 2022 K1 Training K1 Image segmentation K1 Image resolution K1 Instruments K1 Computational modeling K1 Surgery K1 Estimation K1 Data models K1 Synthetic data K1 Testing K1 Instance counting K1 Surgical instruments and materials K1 Synthetic dataset K1 Benchmarking SP 1 OP 7 LK http://dx.doi.org/https://doi.org/10.1109/DICTA56598.2022.10034591 DO https://doi.org/10.1109/DICTA56598.2022.10034591 SF ELIB - SuUB Bremen
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