Tooth Detection and Segmentation with Mask R-CNN

In this paper, we expound the application of Mask RCNN on automatic tooth detection and segmentation. Mask R-CNN is a recently proposed surprising algorithm for object detection and semantic segmentation. This paper aims at detecting and segmenting tooth only. We show that Mask RCNN also has a good segmentation effect in complex and crowded teeth structures. We use the pixel accuracy (PA) to evaluate the results.