Incorporating synthetic data from diffusion models supports echocardiography downstream tasks
PurposeLarge labeled echocardiography datasets are costly to collect. We use diffusion models to generate synthetic training data for segmentation and cardiac phase classification.ApproachWe study three generation approaches on CAMUS: an unconditional image space model, a latent model conditioned on plain English promp...