JU-TBv1: A Large-scale Benchmark Chest X-Ray Dataset for Tuberculosis Detection
JU-TB is a large-scale, single-modality chest X-ray (CXR) dataset curated for binary tuberculosis (TB) detection, designed to support robust benchmarking of deep learning models. The dataset contains 55,336 high-quality CXR images categorized into TB-positive and Normal classes, making it one of the largest publicly av...