Panoramic radiographs are used in dentistry as an auxiliary tool in the prevention and diagnosis of dental diseases. The paper proposes a procedure for automated detection and segmentation of individual teeth on panoramic radiographic images of the jaw. The method is based on the application of the Mask R-CNN algorithm and the methodology for annotation of dental radiographs. Machine learning strategies and performance of systems based on training sets of different sizes are discussed. The characteristics of the obtained solutions and the required training time on four datasets of different sizes were compared.
References
[1] Y.LeCun, Y.Bengio, G.Hinton (2015). Deep learning. Nature, 28;521(7553):436-44. doi: 10.1038/nature14539. PMID: 26017442.
[2] Lin, T. et al. (2014). Microsoft COCO: Common Objects in Context. ECCV 2014. Lecture Notes in Computer Science, vol 8693. Springer
[3] A. Dutta and A. Zisserman. (2019). The VIA Annotation Software for Images, Audio and Video. In Proceedings of the 27th ACM International Conference on Multimedia (MM ’19), October 21–25, Nice, France. ACM, New York, NY, USA, https://doi.org/10.1145/3343031.3350535.
[4] B. Silva, L. Pinheiro, B. Sobrinho, F. Lima, B. Sobrinho, K. Abdalla, M. Pithon, P. Cury, L. Oliveira, “OdontoAI: A human-in-the-loop labeled data set and an online platform to boost research on dental panoramic radiographs”, arXiv.org, 2022.[Online]. https://arxiv.org/abs/2203.15856
[5] K. He, G. Gkioxari, P. Dollár and R. Girshick, (2017). "Mask R-CNN," IEEE International Conference on Computer Vision, Venice, Italy, pp. 2980-2988, doi: 10.1109/ICCV.2017.322.
[6] G. Jader, J. Fontineli, M. Ruiz, K. Abdalla, M. Pithon and L. Oliveira, (2018). "Deep Instance Segmentation of Teeth in Panoramic X-Ray Images," 31st SIBGRAPI Conference on Graphics, Patterns and Images (SIBGRAPI), Parana, Brazil, 2018, pp. 400-407, doi: 10.1109/SIBGRAPI.2018.00058.