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1 Ergebnisse
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Attention-refined U-Net with Skip Connections for Effective..:
, In:
2023 26th International Conference on Computer and Information Technology (ICCIT)
,
Rahman, A. F. M. Minhazur
;
Hossain, Md. Ali
- p. 1-6 , 2023
Link:
https://doi.org/10.1109/ICCIT60459.2023.10441092
RT T1 <cTitle>2023 26th International Conference on Computer and Information Technology (ICCIT)</cTitle>: T1 <Title>Attention-refined U-Net with Skip Connections for Effective Brain Tumor Segmentation from MRI Images</Title> UL https://suche.suub.uni-bremen.de/peid=ieee-10441092&Exemplar=1&LAN=DE A1 Rahman, A. F. M. Minhazur A1 Hossain, Md. Ali YR 2023 K1 Training K1 Magnetic resonance imaging K1 Computer architecture K1 Brain modeling K1 Feature extraction K1 Tumors K1 Residual neural networks K1 Magnetic Resonance Imaging K1 Medical Image Segmentation K1 Brain Tumor K1 Skip Connection K1 Attention Mechanism K1 Semantic Segmentation K1 Low-Grade Glioma SP 1 OP 6 LK http://dx.doi.org/https://doi.org/10.1109/ICCIT60459.2023.10441092 DO https://doi.org/10.1109/ICCIT60459.2023.10441092 SF ELIB - SuUB Bremen
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