Dual-domain adversarial learning and feature constraint for unsupervised anomaly detection in chest X-rays
DualA-AD improves the accuracy for distinguishing normal and abnormal chest X-rays and provides an efficient scheme for fast, low-cost intelligent detection of lung abnormalities, with great potential for computer-aided chest radiographic diagnosis and early prevention and management of pulmonary disorders.