Synthetic Retinal OCT Dataset Generated using Class-Conditioned DDPM
Version 1This dataset contains synthetic Optical Coherence Tomography (OCT) retinal images generated using class conditioned denoising diffusion probabilistic models (DDPMs). The images represent four diagnostic categories: choroidal neovascularization (CNV), diabetic macular edema (DME), drusen, and normal retina. Synthetic data are generated to address the limited availability of labeled OCT datasets and support the development of AI models for retinal disease classification. The generated images aim t
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This dataset contains synthetic Optical Coherence Tomography (OCT) retinal images generated using class conditioned denoising diffusion probabilistic models (DDPMs). The images represent four diagnostic categories: choroidal neovascularization (CNV), diabetic macular edema (DME), drusen, and normal retina. Synthetic data are generated to address the limited availability of labeled OCT datasets and support the development of AI models for retinal disease classification. The generated images aim t