This repository explores diffusion models for medical image data augmentation, crucial for enhancing machine learning model robustness in medical imaging. The four implemented methods include training without augmentation, utilizing keras ImageDataGenerator, employing a DCGAN for image generation, and leveraging DDPM for augmenting images.
☆10Jan 8, 2024Updated 2 years ago
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