研究文章
多级卷积神经网络分类的COVID-19 CT图像
|
| CNN架构 |
TPR敏感性 |
TNR特异性 |
阳性预测值(PPV)的精度 |
阴性预测值(NPV) |
精度 |
F1的分数 |
|
| DenseNet201 |
93.809 |
90.00 |
89.14 |
94.323 |
91.78 |
91.41531 |
| GoogLeNet |
80.952 |
72.50 |
72.034 |
81.308 |
76.44 |
76.23318 |
| ResNet 50 |
86.19 |
95.83 |
94.764 |
88.803 |
91.33 |
90.27431 |
| ResNet 101 |
88.571 |
99.58 |
99.465 |
90.875 |
94.44 |
93.70277 |
| ResNet 152 |
90年 |
98.33 |
97.927 |
91.829 |
94.44 |
93.79653 |
| ResNeXt101 |
95.714 |
100.00 |
One hundred. |
96.386 |
98.00 |
97.81022 |
|
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