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An Ordinal Diffusion Model for Generating Medical Images with Different Severity Levels
March 4, 2024, 5:45 a.m. | Shumpei Takezaki, Seiichi Uchida
cs.CV updates on arXiv.org arxiv.org
Abstract: Diffusion models have recently been used for medical image generation because of their high image quality. In this study, we focus on generating medical images with ordinal classes, which have ordinal relationships, such as severity levels. We propose an Ordinal Diffusion Model (ODM) that controls the ordinal relationships of the estimated noise images among the classes. Our model was evaluated experimentally by generating retinal and endoscopic images of multiple severity classes. ODM achieved higher performance …
abstract arxiv cs.cv diffusion diffusion model diffusion models focus image image generation images medical ordinal quality relationships study type
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