研究文章
自动检测基于端到端的Bi-Branch神经网络的高频振荡和临床交叉验证
|
| 方法 |
森(%) |
SPE (%) |
前(%) |
ACC (%) |
罗斯福(%) |
F1 (%) |
SEN_SPE (%) |
|
| (28] |
77.04 (R) |
72.27 (R) |
- - - - - - |
- - - - - - |
- - - - - - |
- - - - - - |
74.58 (R) |
| 83.23 (FR) |
79.36 (FR) |
81.25 (FR) |
| (29日] |
92.4 (R) |
- - - - - - |
- - - - - - |
- - - - - - |
9.2 (R) |
- - - - - - |
- - - - - - |
| 90.3 (FR) |
10.7 (FR) |
| (47] |
82.666 |
63.352 |
- - - - - - |
- - - - - - |
- - - - - - |
- - - - - - |
71.73 |
| 提出了 |
92.00 |
88.26 |
86.86 |
89.76 |
13.14 |
89.11 |
89.87 |
|
|
