融合多尺度和多头注意力的医疗图像分割方法

王万良,王铁军,陈嘉诚,尤文波

Medical image segmentation method combining multi-scale and multi-head attention

Wan-liang WANG,Tie-jun WANG,Jia-cheng CHEN,Wen-bo YOU

表 10 不同算法在CVC-ColonDB数据集上的分割性能对比

Tab.10 Comparison of segmentation performance of different algorithms on CVC-ColonDB dataset

% 方法 JA DI ACC SEN U-Net 76.70±1.73 83.97±1.71 97.85±0.19 84.12±3.10 Attention U-Net 76.71±3.00 83.65±2.95 97.98±0.40 83.61±3.35 Swin-Unet 34.36±2.62 44.84±2.92 92.05±0.65 54.79±2.43 RAUNet 82.41±1.79 88.81±1.89 98.63±0.20 89.12±1.71 SFUNet 80.12±0.79 87.23±0.81 98.32±0.13 87.86±1.77 DeepLab v3+ (Xception) 79.34±1.24 85.61±1.41 98.52±0.10 86.19±1.38 CE-Net 81.71±1.65 87.95±1.77 98.50±0.08 88.79±2.08 CA-Net 76.01±1.60 83.73±1.63 97.57±0.29 85.35±1.93 UTNet 78.39±2.32 85.51±2.30 98.20±0.21 85.96±2.68 MS2Net 82.83±1.71 89.19±1.89 98.52±0.22 89.68±1.95