Covariance Self-Attention Dual Path UNet for Rectal Tumor Segmentation
Haijun Gao Xiangyin Zeng Dazhi Pan Bochuan Zheng Haijun Gao Xiangyin Zeng Dazhi Pan Bochuan Zheng
Deep learning algorithms are recognized as the most effective method for rectal tumor segmentation. However, since the multi-scale detailed feature information of rectal tumor cannot be fully extracted and applied, the segmentation and identification results of most algorithms are not always perfect. In this work, we introduce a Covariance Self-Attention Dual Path UNet (CSA-DPUNet), that is modifi...