A multi-head self-attention deep learning approach for detection and recommendation of neuromagnetic high frequency oscillations in epilepsy.
Xiangyu ZhaoXueping PengKe NiuHailong LiLili HeFeng YangTing WuDuo ChenQiusi ZhangMenglin OuyangJiayang GuoYijie PanPublished in: Frontiers Neuroinformatics (2022)
Keyphrases
- high frequency
- deep learning
- low frequency
- high resolution
- unsupervised learning
- wavelet transform
- machine learning
- discrete wavelet transform
- subband
- unsupervised feature learning
- high frequency components
- frequency domain
- object detection
- mental models
- wavelet coefficients
- visual attention
- pattern recognition
- weakly supervised
- semi supervised
- multiresolution
- high quality
- similarity measure
- computer vision