Deep Ultrasound Denoising Using Diffusion Probabilistic Models

Noisy ultrasound images were represented as one of the major challenges in medical diagnosis. Regarding that, stemming from denoising diffusion probabilistic models, a denoising method is proposed that retrieves the denoised image by passing the noisy image through an iterative inverse process.