{"ID":2853185,"CreatedAt":"2026-06-01T04:54:23.091178241Z","UpdatedAt":"2026-06-01T04:54:23.091178241Z","DeletedAt":null,"paper_url":"https://arxiv.org/abs/2510.16887","arxiv_id":"2510.16887","title":"Class-N-Diff: Classification-Induced Diffusion Model Can Make Fair Skin Cancer Diagnosis","abstract":"Generative models, especially Diffusion Models, have demonstrated remarkable capability in generating high-quality synthetic data, including medical images. However, traditional class-conditioned generative models often struggle to generate images that accurately represent specific medical categories, limiting their usefulness for applications such as skin cancer diagnosis. To address this problem, we propose a classification-induced diffusion model, namely, Class-N-Diff, to simultaneously generate and classify dermoscopic images. Our Class-N-Diff model integrates a classifier within a diffusion model to guide image generation based on its class conditions. Thus, the model has better control over class-conditioned image synthesis, resulting in more realistic and diverse images. Additionally, the classifier demonstrates improved performance, highlighting its effectiveness for downstream diagnostic tasks. This unique integration in our Class-N-Diff makes it a robust tool for enhancing the quality and utility of diffusion model-based synthetic dermoscopic image generation. Our code is available at https://github.com/Munia03/Class-N-Diff.","short_abstract":"Generative models, especially Diffusion Models, have demonstrated remarkable capability in generating high-quality synthetic data, including medical images. However, traditional class-conditioned generative models often struggle to generate images that accurately represent specific medical categories, limiting their us...","url_abs":"https://arxiv.org/abs/2510.16887","url_pdf":"https://arxiv.org/pdf/2510.16887v1","authors":"[\"Nusrat Munia\",\"Abdullah Imran\"]","published":"2025-10-19T15:37:41Z","proceeding":"cs.CV","tasks":"[\"cs.CV\"]","methods":"[\"Diffusion Model\"]","has_code":false,"code_links":[{"ID":608064,"CreatedAt":"2026-06-01T04:54:23.091178241Z","UpdatedAt":"2026-06-01T04:54:23.091178241Z","DeletedAt":null,"paper_id":2853185,"paper_url":"https://arxiv.org/abs/2510.16887","paper_title":"Class-N-Diff: Classification-Induced Diffusion Model Can Make Fair Skin Cancer Diagnosis","repo_url":"https://github.com/Munia03/Class-N-Diff","is_official":false,"mentioned_in_paper":false,"mentioned_in_github":true,"github_stars":0}]}