Individual tooth detection and identification from dental panoramic X-ray images via point-wise localization and distance regularization

作者：

Highlights：

• Integration of a point-based detection method and fixed 32-point regression in a cascaded fashion.

• The proposed method does not require any additional classification methods for tooth identification.

• Introduction of a novel distance regularization loss between neighboring teeth to improve the regression.

• Multitask training of box parameters and the marginal offset vector of the center point to improve the accuracy of detection.

摘要

•Integration of a point-based detection method and fixed 32-point regression in a cascaded fashion.•The proposed method does not require any additional classification methods for tooth identification.•Introduction of a novel distance regularization loss between neighboring teeth to improve the regression.•Multitask training of box parameters and the marginal offset vector of the center point to improve the accuracy of detection.

论文关键词：Distance regularized point regression,Individual tooth detection,Panoramic X-ray image detection,Point-wise object detection,Tooth identification

论文评审过程：Received 13 April 2020, Revised 4 November 2020, Accepted 17 November 2020, Available online 21 November 2020, Version of Record 4 December 2020.

论文官网地址：https://doi.org/10.1016/j.artmed.2020.101996