Introduction Detecting dental caries in radiographs is a foundational task in preventive dentistry. The low contrast and overlapping structures in bite-wing and periapical X-ray images can obscure early lesions, making accurate classification a persistent challenge. A novel computational intelligence framework combines integrated fuzzy C-means clustering with feature reduction and a weighted matrix scheme to address…