研究文章
智能诊断方法的大脑肿瘤MRI分割使用深卷积神经网络和支持向量机算法
|
| 数量 |
DSC |
灵敏度 |
特异性 |
数量 |
DSC |
灵敏度 |
特异性 |
|
| 1 |
0.8801 |
0.9020 |
0.9563 |
14 |
0.8695 |
0.8896 |
0.9411 |
| 2 |
0.8768 |
0.8963 |
0.9368 |
15 |
0.8753 |
0.8976 |
0.9520 |
| 3 |
0.8893 |
0.9158 |
0.9605 |
16 |
0.8536 |
0.8729 |
0.9264 |
| 4 |
0.8682 |
0.8910 |
0.9482 |
17 |
0.8463 |
0.8667 |
0.9118 |
| 5 |
0.8926 |
0.9089 |
0.9795 |
18 |
0.8831 |
0.9053 |
0.9786 |
| 6 |
0.8796 |
0.8998 |
0.9385 |
19 |
0.8920 |
9107年 |
0.9632 |
| 7 |
0.8859 |
0.9096 |
0.9543 |
20. |
0.8697 |
0.8896 |
0.9408 |
| 8 |
0.8633 |
0.8859 |
0.9386 |
21 |
0.8787 |
0.9006 |
0.9602 |
| 9 |
0.8828 |
0.9010 |
0.9715 |
22 |
0.8811 |
0.9120 |
0.9632 |
| 10 |
0.8989 |
0.9157 |
0.9634 |
23 |
0.8980 |
0.9234 |
0.9728 |
| 11 |
0.9003 |
0.9236 |
0.9726 |
24 |
0.8479 |
0.8752 |
0.9388 |
| 12 |
0.8429 |
0.8695 |
0.9367 |
25 |
0.8256 |
0.8610 |
0.9286 |
| 13 |
0.8396 |
0.8600 |
0.9302 |
26 |
0.8694 |
0.8887 |
0.9385 |
|
|
