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1 Ergebnisse
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MSA-VNet: Multi-scale Attention-based V-Net for DCE-MRI Les..:
, In:
2022 International Conference on Image Processing, Computer Vision and Machine Learning (ICICML)
,
Xu, Chang Yan
;
Sang, Zi Jiang
;
Shao, Ye Qin
- p. 309-312 , 2022
Link:
https://doi.org/10.1109/ICICML57342.2022.10009647
RT T1
2022 International Conference on Image Processing, Computer Vision and Machine Learning (ICICML)
: T1
MSA-VNet: Multi-scale Attention-based V-Net for DCE-MRI Lesion Segmentation
UL https://suche.suub.uni-bremen.de/peid=ieee-10009647&Exemplar=1&LAN=DE A1 Xu, Chang Yan A1 Sang, Zi Jiang A1 Shao, Ye Qin YR 2022 K1 Image segmentation K1 Computer vision K1 Three-dimensional displays K1 Shape K1 Magnetic resonance imaging K1 Computational modeling K1 Machine learning K1 breast cancer lesion segmentation K1 3D multi-receptive field feature extraction K1 attention-based long-range skip K1 Focal Toversky loss SP 309 OP 312 LK http://dx.doi.org/https://doi.org/10.1109/ICICML57342.2022.10009647 DO https://doi.org/10.1109/ICICML57342.2022.10009647 SF ELIB - SuUB Bremen
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