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caries

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anisnazira / yolov11-optimisation-dental-detection

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This study proposes a deep learning-based object detection framework utilizing YOLOv11 to automate the identification and classification of three common dental lesion types which are caries, gingivitis, and white spot lesions, using high-resolution intraoral photographic images.

data-science machine-learning deep-learning wsl hyperparameter-optimization hyperparameter-tuning optuna caries gingiva yolov11 optuna-optimization dental-lesion-detection
  • Updated Nov 23, 2025

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