Application of a fully deep convolutional neural network to the automation of tooth segmentation on panoramic radiographs.
Sign Up to like & getrecommendations! Published in 2019 at "Oral surgery, oral medicine, oral pathology and oral radiology"
DOI: 10.1016/j.oooo.2019.11.007
Abstract: OBJECTIVES To evaluate a fully deep learning mask region-based convolutional neural network (R-CNN) method for automated tooth segmentation using individual annotation of panoramic radiographs. STUDY DESIGN In total, 846 images with tooth annotations from 30… read more here.
Keywords: panoramic radiographs; segmentation; method; tooth segmentation ... See more keywords
MPCNet: Improved MeshSegNet Based on Position Encoding and Channel Attention
Sign Up to like & getrecommendations! Published in 2023 at "IEEE Access"
DOI: 10.1109/access.2023.3254206
Abstract: In the process of orthodontic treatment, it is a very important step to accurately segment each tooth and jaw model with computer assistance. The use of deep learning technology methods for tooth segmentation can not… read more here.
Keywords: mpcnet; segmentation; tooth segmentation; channel attention ... See more keywords
Hierarchical Self-Supervised Learning for 3D Tooth Segmentation in Intra-Oral Mesh Scans
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Transactions on Medical Imaging"
DOI: 10.1109/tmi.2022.3222388
Abstract: Accurately delineating individual teeth and the gingiva in the three-dimension (3D) intraoral scanned (IOS) mesh data plays a pivotal role in many digital dental applications, e.g., orthodontics. Recent research shows that deep learning based methods… read more here.
Keywords: supervised learning; level; self supervised; segmentation ... See more keywords
Clinical tooth segmentation based on local enhancement
Sign Up to like & getrecommendations! Published in 2022 at "Frontiers in Molecular Biosciences"
DOI: 10.3389/fmolb.2022.932348
Abstract: The tooth arrangements of human beings are challenging to accurately observe when relying on dentists’ naked eyes, especially for dental caries in children, which is difficult to detect. Cone-beam computer tomography (CBCT) is used as… read more here.
Keywords: local enhancement; segmentation; tooth segmentation; dental cbct ... See more keywords
A Tooth Segmentation Method Based on Multiple Geometric Feature Learning
Sign Up to like & getrecommendations! Published in 2022 at "Healthcare"
DOI: 10.3390/healthcare10102089
Abstract: Tooth segmentation is an important aspect of virtual orthodontic systems. In some existing studies using deep learning-based tooth segmentation methods, the feature learning of point coordinate information and normal vector information is not effectively distinguished.… read more here.
Keywords: segmentation; tooth segmentation; geometric feature; feature learning ... See more keywords