8 citations · 11 across the 4 of their papers we have counts for
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DB-MSMUNet:Dual Branch Multi-scale Mamba UNet for Pancreatic CT Scans Segmentation
Qiu Guan, Zhiqiang Yang, Dezhang Ye +3
Accurate segmentation of the pancreas and its lesions in CT scans is crucial for the precise diagnosis and treatment of pancreatic cancer. However, it remains a highly challenging…
MHAF-YOLO: Multi-Branch Heterogeneous Auxiliary Fusion YOLO for accurate object detection
Zhiqiang Yang, Qiu Guan, Zhongwen Yu +5
Due to the effective multi-scale feature fusion capabilities of the Path Aggregation FPN (PAFPN), it has become a widely adopted component in YOLO-based detectors. However, PAFPN s…
Multi-Branch Auxiliary Fusion YOLO with Re-parameterization Heterogeneous Convolutional for accurate object detection
Zhiqiang Yang, Qiu Guan, Keer Zhao +4
Due to the effective performance of multi-scale feature fusion, Path Aggregation FPN (PAFPN) is widely employed in YOLO detectors. However, it cannot efficiently and adaptively int…
DuEDL: Dual-Branch Evidential Deep Learning for Scribble-Supervised Medical Image Segmentation
Yitong Yang, Xinli Xu, Haigen Hu +3
Despite the recent progress in medical image segmentation with scribble-based annotations, the segmentation results of most models are still not ro-bust and generalizable enough in…