A Clinician-Configurable FAHP-Based Ensemble Framework for Multi-Label Chest X-Ray Classification
Background/Objectives: Deep learning-based chest X-ray (CXR) analysis has shown strong diagnostic performance; however, conventional ensemble methods typically rely on equal-weight aggregation and do not account for disease-specific model behavior or clinician-defined priorities. Methods: We developed a clinician-confi...