Wavelet-ResNet: A deep residual network combined with wavelet transform for photoacoustic blood glucose detection

Jianglong Wu, Zhenming Peng, Xiao Zhang, Wuguang He, Chunping Yang

Abstract: Highlights•First use of deep convolutional neural networks for photoacoustic glucose detection.•Improving expressive power of features with wavelet transform in neural networks.•Two improved wavelet threshold functions with forms of simplicity.•Evaluation of the model from perspectives of error, diagnostic tests and statistics.