42 citations · 61 across the 2 of their papers we have counts for
3 papers
cs.CV2022★ 42 cited
Attention guided global enhancement and local refinement network for semantic segmentation
Jiangyun Li, Sen Zha, Chen Chen +3
The encoder-decoder architecture is widely used as a lightweight semantic segmentation network. However, it struggles with a limited performance compared to a well-designed Dilated…
eess.IV2022★ 19 cited
Category Guided Attention Network for Brain Tumor Segmentation in MRI
Jiangyun Li, Hong Yu, Chen Chen +2
Objective: Magnetic resonance imaging (MRI) has been widely used for the analysis and diagnosis of brain diseases. Accurate and automatic brain tumor segmentation is of paramount i…
cs.CV2021
TransBTS: Multimodal Brain Tumor Segmentation Using Transformer
Wenxuan Wang, Chen Chen, Meng Ding +3
Transformer, which can benefit from global (long-range) information modeling using self-attention mechanisms, has been successful in natural language processing and 2D image classi…