DG-UCTB: A Domain-Generalized Uncertainty-Calibrated Framework for Tuberculosis Detection in Chest Radiographs
Tuberculosis remains a major global health burden, creating a need for accurate and generalizable computer-aided screening methods based on chest radiographs. Deep learning models trained on a single imaging cohort can experience substantial performance degradation when applied to data acquired from different instituti...