Individual Tooth Detection and Identification from Dental Panoramic X-Ray Images via Point-wise Localization and Distance Regularization

@article{Chung2021IndividualTD,
  title={Individual Tooth Detection and Identification from Dental Panoramic X-Ray Images via Point-wise Localization and Distance Regularization},
  author={Minyoung Chung and Jusang Lee and S. Park and M. Lee and Chae Eun Lee and Jeongjin Lee and Yeong-Gil Shin},
  journal={Artificial intelligence in medicine},
  year={2021},
  volume={111},
  pages={
          101996
        }
}
Dental panoramic X-ray imaging is a popular diagnostic method owing to its very small dose of radiation. For an automated computer-aided diagnosis system in dental clinics, automatic detection and identification of individual teeth from panoramic X-ray images are critical prerequisites. In this study, we propose a point-wise tooth localization neural network by introducing a spatial distance regularization loss. The proposed network initially performs center point regression for all the… Expand
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