A monotonic multi-expert Vision Transformer for clinically reliable chest X-ray classification
Overall, the proposed QMIX-ViT framework provides a structured approach for multi-class chest X-ray classification under heterogeneous data conditions and suggests that disease-group expert decomposition and monotonic fusion can reduce inter-class interference and improve decision-level stability.