Echocardiogram enhancement using supervised manifold denoising
A supervised subspace learning model is proposed for echocardiogram denoising. Metadata extracted from the ECG signal is used to supervise the denoising process. SMD is effective for multimodal noise (e.g., speckle noise and dropout artifacts). SMD outperforms related methods on synthetic and real-world data.
biomedical image processing echocardiography image denoising supervised learning video signal processing