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CXR-ACGAN: Auxiliary Classifier GAN (AC-GAN) for Chest X-Ray (CXR) Images Generation (Pneumonia, COVID-19 and healthy patients) for the purpose of data augmentation. Implemented in TensorFlow, trained on COVIDx CXR-3 dataset.
Coursework solutions for a 3rd year Computer Science module on Deep Learning @ Durham University. Uses a conditional WGAN-GP implementation to generate images from the CIFAR-10 and STL-10 datasets.
This project explores the use of Generative Adversarial Networks (GANs) including DCGAN, ACGAN, and ProGAN to create realistic synthetic chest X-ray images. It aims to enhance medical imaging datasets and improve the performance of diagnostic AI models, especially in data-scarce scenarios.