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   Articles with "tooth segmentation" as a keyword



Application of a fully deep convolutional neural network to the automation of tooth segmentation on panoramic radiographs.

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recommendations! 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

A multi-modal dental dataset for semi-supervised deep learning image segmentation

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recommendations! Published in 2025 at "Scientific Data"

DOI: 10.1038/s41597-024-04306-9

Abstract: In response to the increasing prevalence of dental diseases, dental health, a vital aspect of human well-being, warrants greater attention. Panoramic X-ray images (PXI) and Cone Beam Computed Tomography (CBCT) are key tools for dentists… read more here.

Keywords: deep learning; segmentation; dataset semi; sts tooth ... See more keywords
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Transformer based 3D tooth segmentation via point cloud region partition

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recommendations! Published in 2024 at "Scientific Reports"

DOI: 10.1038/s41598-024-79485-x

Abstract: Automatic and accurate tooth segmentation on 3D dental point clouds plays a pivotal role in computer-aided dentistry. Existing Transformer-based methods focus on aggregating local features, but fail to directly model global contexts due to memory… read more here.

Keywords: point; based tooth; transformer based; point cloud ... See more keywords

MPCNet: Improved MeshSegNet Based on Position Encoding and Channel Attention

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recommendations! 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

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recommendations! 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

TSRNet: A Dual-Stream Network for Refining 3D Tooth Segmentation

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recommendations! Published in 2024 at "IEEE Transactions on Visualization and Computer Graphics"

DOI: 10.1109/tvcg.2024.3413345

Abstract: The field of 3D tooth segmentation has made considerable advances thanks to deep learning, but challenges remain with coarse segmentation boundaries and prediction errors. In this article, we introduce a novel learnable method to refine… read more here.

Keywords: refinement; stream network; segmentation; tooth segmentation ... See more keywords

Deep learning-based tooth segmentation methods in medical imaging: A review

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recommendations! Published in 2024 at "Proceedings of the Institution of Mechanical Engineers, Part H: Journal of Engineering in Medicine"

DOI: 10.1177/09544119231217603

Abstract: Deep learning approaches for tooth segmentation employ convolutional neural networks (CNNs) or Transformers to derive tooth feature maps from extensive training datasets. Tooth segmentation serves as a critical prerequisite for clinical dental analysis and surgical… read more here.

Keywords: deep learning; segmentation; learning based; segmentation methods ... See more keywords

PXseg: automatic tooth segmentation, numbering and abnormal morphology detection based on CBCT and panoramic radiographs

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recommendations! Published in 2025 at "BMC Oral Health"

DOI: 10.1186/s12903-025-06356-w

Abstract: PXseg, a novel approach for tooth segmentation, numbering and abnormal morphology detection in panoramic X-ray (PX), was designed and promoted through optimizing annotation and applying pre-training. Derived from multicenter, ctPXs generated from cone beam computed… read more here.

Keywords: pxseg; segmentation; segmentation numbering; morphology detection ... See more keywords

Clinical tooth segmentation based on local enhancement

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recommendations! 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

PPA-SAM: Plug-and-Play Adversarial Segment Anything Model for 3D Tooth Segmentation

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recommendations! Published in 2024 at "Applied Sciences"

DOI: 10.3390/app14083259

Abstract: In Cone Beam Computed Tomography (CBCT) images, accurate tooth segmentation is crucial for oral health, providing essential guidance for dental procedures such as implant placement and difficult tooth extractions (impactions). However, due to the lack… read more here.

Keywords: cbct; segmentation; model; ppa sam ... See more keywords

STSN-Net: Simultaneous Tooth Segmentation and Numbering Method in Crowded Environments with Deep Learning

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recommendations! Published in 2024 at "Diagnostics"

DOI: 10.3390/diagnostics14050497

Abstract: Accurate tooth segmentation and numbering are the cornerstones of efficient automatic dental diagnosis and treatment. In this paper, a multitask learning architecture has been proposed for accurate tooth segmentation and numbering in panoramic X-ray images.… read more here.

Keywords: stsn net; segmentation; net simultaneous; segmentation numbering ... See more keywords