基于多尺度残差神经网络的阿尔茨海默病诊断分类

刘振丙,方旭升,杨辉华,蓝如师

The diagnosis of Alzheimer's disease classification based on multi-scale residual neutral network

Zhenbing LIU,Xusheng FANG,Huihua YANG,Rushi LAN

表4 与其他模型的准确率、敏感度和特异性的比较

Table 4 Comparison of accuracy, specificity and sensitive performance of MSResnet with the other technique

% 模型 AD vs NC AD vs MCI MCI vs NC 准确率 敏感度 特异度 准确率 敏感度 特异度 准确率 敏感度 特异度 Alexnet[17] 96.14 93.57 100.00 90.52 85.11 94.20 84.80 88.02 80.62 VGG[16] 98.33 97.78 98.89 93.89 90.00 97.78 91.67 91.11 92.22 GoogLenet[15] 98.84 CNN[14] 93.08 94.92 92.67 86.30 88.46 84.55 83.30 80.99 85.55 DBN[20] 90.09 94.10 86.12 84.00 89.12 79.12 83.14 95.09 67.26 MSResnet 99.41 97.89 99.86 97.35 93.73 98.51 87.75 84.08 88.49