Integrating Local and Global Representation Learning for Pediatric Pneumonia Detection: A Hybrid CNN–Transformer Ensemble Framework
Background/Objectives: Pneumonia remains a leading cause of childhood morbidity and mortality worldwide. Accurate interpretation of pediatric chest radiographs is challenging because of anatomical variability, subtle radiographic findings, and inter-observer variability. This study evaluates different CNN–Transformer e...