DPM-LVSN:A Diffusion Probabilistic Model-based Left Ventricular Segmentation Network

To improve the accuracy and robustness of left ventricular segmentation, This paper proposes a diffusion probabilistic model-based left ventricular segmentation network (DPM-LVSN). DPM-LVSN integrates a U-shaped encoder-decoder for feature extraction, self-attention for semantic information, and a diffusion model for noise recovery. And the efficiency is improved by using feature fusion based on Fourier transform and time step fusion based on confidence. The experimental results on EchoNet-Dynamic dataset show the effectiveness of the proposed method