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5 对比实验结果
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Table 5 Comparison of experimental results
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| 模型 | ACC/(%) | SPE/(%) | SEN/(%) | PRE/(%) | F1/(%) | | 3D_VGG16 | 69.29(±5.79) | 84.64 | 69.34 | 72.64 | 68.80 | | 3D_DensNet121 | 74.56(±2.37) | 87.28 | 76.10 | 77.59 | 74.17 | | 3D_ResNet34 | 83.26(±2.53) | 89.03 | 83.32 | 84.40 | 82.86 | | 3D_ResNet50 | 87.45(±2.44) | 93.72 | 88.20 | 88.65 | 87.61 | | 3D ViT | 69.93(±2.41) | 82.40 | 69.81 | 69.62 | 69.39 | | 3D HAMSNet | 94.14(±1.03) | 97.07 | 94.14 | 94.22 | 94.17 |
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