Open access
2026
From Pneumonia to Multi-Disease: Interpretable and Uncertainty-Aware Semi-Supervised Learning Strategies for Chest X-Ray Classification
The proposed framework shows that lightweight deep learning models combined with semi-supervised learning, uncertainty estimation, and explainability can provide accurate, efficient, and clinically reliable solutions for automated chest X-ray diagnosis.
S. Mahin, Tahmina Hasan, Sara Karim et al.
· IEEE Access · 0 citations