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1 Ergebnisse
1
RGA-Unet: An improved U-net segmentation model based on res..:
, In:
2022 5th International Conference on Computer Science and Software Engineering (CSSE 2022)
,
Xun, Siyi
;
Zhang, Yan
;
Duan, Sixu
... - p. 319-324 , 2022
Link:
https://dl.acm.org/doi/10.1145/3569966.3570060
RT T1 <cTitle>2022 5th International Conference on Computer Science and Software Engineering (CSSE 2022)</cTitle>: T1 <Title>RGA-Unet: An improved U-net segmentation model based on residual grouped convolution and convolutional block attention module for brain tumor MRI image segmentation</Title> UL https://suche.suub.uni-bremen.de/peid=acm-3570060&Exemplar=1&LAN=DE A1 Xun, Siyi A1 Zhang, Yan A1 Duan, Sixu A1 Chen, Huachao A1 Wang, Mingwei A1 Chen, Jiangang A1 Tan, Tao PB ACM YR 2022 K1 Attention mechanism K1 Brain tumor K1 Deep learning K1 MRI K1 Segmentation K1 U-net K1 Computing methodologies K1 Artificial intelligence K1 Machine learning K1 Applied computing K1 Life and medical sciences K1 Computer vision K1 Computer vision problems K1 Interest point and salient region detections K1 Image segmentation K1 Video segmentation SP 319 OP 324 LK http://dx.doi.org/https://dl.acm.org/doi/10.1145/3569966.3570060 DO https://dl.acm.org/doi/10.1145/3569966.3570060 SF ELIB - SuUB Bremen
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