融合多重自注意力和可变形卷积的多模态脑胶质瘤分割

赵欣,张鑫,李鑫杰,王洪凯

Multimodal Glioma Segmentation with Fusion of Multiple Self-attention and Deformable Convolutions

ZHAO Xin,ZHANG Xin,LI Xinjie,WANG Hongkai

表1 BraTs2019数据集上不同网络的分割

Table 1 Indexes of segmentation results using different models on BraTs2019 dataset

网络 Dice/% Hausdorff_95 PPV/% Sensitivity/% WT TC ET MV WT TC ET MV WT TC ET MV WT TC ET MV Unet 83.24 84.57 76.84 81.55 2.6167 1.6551 2.7735 2.3488 85.57 85.34 78.52 83.14 85.94 90.58 80.55 85.69 DeepResUnet 85.00 84.80 78.74 82.85 2.5781 1.6267 2.7588 2.3212 87.67 88.50 80.79 85.65 86.55 91.24 81.92 86.57 Unet++ 85.76 86.44 77.88 83.36 2.5874 1.6902 2.7558 2.3445 86.70 86.30 79.75 84.25 87.13 92.51 82.16 87.27 TransUnet 86.73 86.83 79.09 84.22 2.6562 1.5829 2.7395 2.3262 86.57 88.39 80.06 85.00 87.87 92.34 83.34 87.85 本文方法 88.15 87.98 80.46 85.33 2.5637 1.5323 2.6623 2.2528 87.75 88.98 79.89 85.54 88.22 92.16 83.66 88.01