CVMay 27
Intra-YOLO: A Small Object Detection Model for Caries and Molar-Incisor Hypomineralization in Intraoral Photography Based on Transfer Learning with Reinforcement Learning
arXiv:2605.281576.7
Predicted impact top 93% in CV · last 90 daysOriginality Synthesis-oriented
AI Analysis
Provides a practical tool for dentists to automatically detect two common but visually similar dental lesions in intraoral images.
The authors developed Intra-YOLO, a CAD system for detecting caries and MIH in intraoral photos, achieving 91.2% mAP and outperforming YOLOv8 by 4.7%.
This study developed a computer-aided diagnosis (CAD) system for detecting caries and molar-incisor hypomineralization (MIH) in intraoral photographs. These lesions share similar appearances, making clinical differentiation challenging, especially given their small size and variability in imaging conditions.