ChestX Ray8 Dataset

The ChestX-ray8 dataset is a large publicly available collection of chest X-ray images used extensively for developing and evaluating computer-aided diagnosis (CAD) systems. Current research focuses on improving the accuracy and robustness of disease detection algorithms, particularly addressing class imbalance issues and incorporating anatomical information to enhance model performance. This involves exploring various deep learning architectures, such as ResNet, Xception, VGG, DenseNet, and MobileNet, often combined with techniques like Generative Adversarial Networks (GANs) for data augmentation and LightGBM for classification. The dataset's significance lies in its contribution to advancing the development of accurate and efficient AI-powered diagnostic tools for various thoracic diseases.