[Retracted] Automatic Detection of High-Frequency Oscillations Based on an End-to-End Bi-Branch Neural Network and Clinical Cross-Validation

<div>Structure of TFpic branch model. (a) Time-frequency diagrams. (b) The specific structure of 2d-ResNet_CBAM. (c) CBAM, the upper row shows the channel attention (CA) module, and the spatial attention (SA) module lies in the bottom row, <i>S</i> denotes the sigmoid function.</div>

Computational Intelligence and Neuroscience

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Figure 8

Figure 8: [Retracted] Automatic Detection of High-Frequency Oscillations Based on an End-to-End Bi-Branch Neural Network and Clinical Cross-Validation 

Figure 8 | [Retracted] Automatic Detection of High-Frequency Oscillations Based on an End-to-End Bi-Branch Neural Network and Clinical Cross-Validation 