混合注意力和多尺度模块的阿尔茨海默病分类方法
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顾佳佳, 王远军
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Hybrid Attention and Multiscale Module for Alzheimer's Disease Classification
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GU Jiajia, WANG Yuanjun
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表3 不同模块的消融实验结果表
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Table 3 Ablation results of different modules
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模型 | ACC/(%) | SPE/(%) | SEN/(%) | PRE/(%) | F1/(%) | 3D CNet | 84.26(±2.53) | 92.13 | 84.26 | 87.38 | 84.00 | 3D RNet | 87.45(±2.44) | 93.72 | 88.20 | 88.65 | 87.61 | 3D HAMS+CNet | 89.20(±1.53) | 94.60 | 89.21 | 89.84 | 89.27 | 3D HAM+RNet | 93.39(±1.31) | 96.70 | 93.39 | 93.46 | 93.42 | 3D MS+RNet | 91.73(±1.80) | 95.90 | 91.80 | 92.16 | 91.83 | 3D HAMSNet | 94.14(±1.03) | 97.07 | 94.14 | 94.22 | 94.17 |
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