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.

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.