30 citations · 44 across the 4 of their papers we have counts for
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eess.IV2023
SPPNet: A Single-Point Prompt Network for Nuclei Image Segmentation
Qing Xu, Wenwei Kuang, Zeyu Zhang +3
Image segmentation plays an essential role in nuclei image analysis. Recently, the segment anything model has made a significant breakthrough in such tasks. However, the current mo…
eess.IV2022★ 14 cited
DCSAU-Net: A Deeper and More Compact Split-Attention U-Net for Medical Image Segmentation
Qing Xu, Zhicheng Ma, Na HE +1
Deep learning architecture with convolutional neural network (CNN) achieves outstanding success in the field of computer vision. Where U-Net, an encoder-decoder architecture struct…
eess.IV2020★ 30 cited
DR-Unet104 for Multimodal MRI brain tumor segmentation
Jordan Colman, Lei Zhang, Wenting Duan +1
In this paper we propose a 2D deep residual Unet with 104 convolutional layers (DR-Unet104) for lesion segmentation in brain MRIs. We make multiple additions to the Unet architectu…