Self-attentional microvessel segmentation via squeeze-excitation transformer Unet

Xiongri Shen, Jingjiang Xu, Haibo Jia, Pan Fan, Feng Dong, Bo Yu, Shangjie Ren

Abstract: Highlights•A CNN-Transformer Hybrid network is developed for micro-vessel segmentation.•Residual attention block is used to improve feature extraction performance.•Squeeze-Excitation operation is adopted for more efficient self-attention mechanism.•The proposed network achieved state-of-the-art performance on five public datasets.