Machine-learning disease classification models have the potential to support diagnosis of various diseases. Pairing classification models with synthetic image generation may overcome barriers to developing classification models and permit their use in numerous contexts. Using 10 images of penises with human papilloma virus (HPV)-related disease, we trained a denoising diffusion probabilistic model.
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