33 citations · 81 across the 16 of their papers we have counts for
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3 papers · 1 filter
eess.IV2022★ 1 cited
TFCNs: A CNN-Transformer Hybrid Network for Medical Image Segmentation
Zihan Li, Dihan Li, Cangbai Xu +4
Medical image segmentation is one of the most fundamental tasks concerning medical information analysis. Various solutions have been proposed so far, including many deep learning-b…
cs.CV2022★ 8 cited
LViT: Language meets Vision Transformer in Medical Image Segmentation
Zihan Li, Yunxiang Li, Qingde Li +6
Deep learning has been widely used in medical image segmentation and other aspects. However, the performance of existing medical image segmentation models has been limited by the c…
cs.CR2022★ 5 cited
Semi-WTC: A Practical Semi-supervised Framework for Attack Categorization through Weight-Task Consistency
Zihan Li, Wentao Chen, Zhiqing Wei +2
Supervised learning has been widely used for attack categorization, requiring high-quality data and labels. However, the data is often imbalanced and it is difficult to obtain suff…