Diffusion Models for Neuroimaging Data Augmentation: Assessing Realism and Clinical Relevance
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Data scarcity remains a major obstacle to the application of deep learning techniques in medical imaging, particularly for rare neurodegenerative diseases. This study investigates the use of denoising diffusion probabilistic models (DDPMs) to generate syntheti... ...
