Deep Ultrasound Denoising Using Diffusion Probabilistic Models
Deep Ultrasound Denoising Using Diffusion Probabilistic Models
Ultrasound images are widespread in medical diagnosis for musculoskeletal, cardiac, and obstetrical imaging due to the efficiency and non-invasiveness of the acquisition methodology. However, the acquired images are degraded by acoustic (e.g. reverberation and clutter) and electronic sources of noise. To improve the Peak Signal to Noise Ratio (PSNR) of …