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Open access Oct 2026

RCTE: A multi-class object detection framework for dental panoramic radiographs

Background Dental panoramic radiographs play an important role in oral disease screening, computer-aided diagnosis, and clinical treatment planning. However, accurate multi-class detection remains challenging due to small lesion sizes, ambiguous anatomical boundaries, insufficient multi-scale feature representation, an...

Jia-Yi Peng, Ji Liu, Yu-Feng Shen et al. · 0 citations
Open access Aug 2026

YOLO-MRAF: A multi-scale reinforced attention fusion network for waterbody segmentation

YOLO-MRAF is a practical YOLO-based solution for instance-aware waterbody segmentation, and Comparisons with semantic segmentation models and direct external evaluations on RIWA and LuFI-RiverSnap further demonstrate its competitive pixel-level performance and improved external mIoU and Dice.

Tao Zhou, Nan Lian, Zeming Yin et al. · 0 citations

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