DINOv3-SAM: Fusing Semantic and Anatomical Foundation Models for Robust Medical Image Classification.
Robust medical image classification remains a persistent challenge due to heterogeneous acquisition protocols, label noise, and subtle inter-class variability. In chest radiography, these difficulties are compounded by shortcut learning from non-anatomical artifacts and projection variability, which severely undermine...