TSASNet: Tooth segmentation on dental panoramic X-ray images by Two-Stage Attention Segmentation Network

作者：

Highlights：

• A two-stage strategy is exploited for tooth localization and segmentation in dental panoramic X-ray images.

• A novel attention model focuses on automatically catching the real tooth region.

• Tooth structures and the tooth root topologies are obtained by a hierarchical segmentation architecture.

• The proposed method significantly superior to the current state-of-the-art methods.

摘要

•A two-stage strategy is exploited for tooth localization and segmentation in dental panoramic X-ray images.•A novel attention model focuses on automatically catching the real tooth region.•Tooth structures and the tooth root topologies are obtained by a hierarchical segmentation architecture.•The proposed method significantly superior to the current state-of-the-art methods.

论文关键词：Panoramic X-ray image,Attention model,Tooth segmentation

论文评审过程：Received 12 May 2020, Revised 6 July 2020, Accepted 28 July 2020, Available online 5 August 2020, Version of Record 11 August 2020.

论文官网地址：https://doi.org/10.1016/j.knosys.2020.106338