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xinario/awesome-gan-for-medical-imaging

A curated collection of Generative Adversarial Network papers, code, and resources focused on medical imaging tasks like CT denoising and segmentation.

awesome-gan-for-medical-imaging
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This repository aggregates research papers, implementations, and resources applying GANs to medical imaging problems. It organizes content across multiple application areas including low-dose CT denoising, image segmentation, detection, synthesis, reconstruction, registration, and classification. The list serves as a reference for researchers and practitioners working on deep learning approaches in medical image analysis.

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