Convolutional neural network for automated tooth segmentation on intraoral scans

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Location: Deutsche Nationalbibliothek Frankfurt am Main

Extent: 1 Online-Ressource.

Language: Englisch

Bibliographic citation: Convolutional neural network for automated tooth segmentation on intraoral scans ; volume:24 ; number:1 ; day:16 ; month:7 ; year:2024 ; pages:1-9 ; date:12.2024
BMC oral health ; 24, Heft 1 (16.7.2024), 1-9, 12.2024

Creator: Wang, Xiaotong
Alqahtani, Khalid Ayidh
Bogaert, Tom Van den
Shujaat, Sohaib
Jacobs, Reinhilde
Shaheen, Eman

Contributor: SpringerLink (Online service)

DOI: 10.1186/s12903-024-04582-2

URN: urn:nbn:de:101:1-2410090958392.440861578656

Rights: Open Access; Der Zugriff auf das Objekt ist unbeschränkt möglich.

Last update: 15.08.2025, 7:21 AM CEST

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Wang, Xiaotong
Alqahtani, Khalid Ayidh
Bogaert, Tom Van den
Shujaat, Sohaib
Jacobs, Reinhilde
Shaheen, Eman
SpringerLink (Online service)

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Convolutional neural network for automated tooth segmentation on intraoral scans

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Other Objects (12)

Caries detection with tooth surface segmentation on intraoral photographic images using deep learning

Fusion of intra-oral scans in cone-beam computed tomography scans

Accuracy of single tooth positions on 3D intraoral scans of patients with orthodontic multi-bracket appliances

Automated tooth segmentation in magnetic resonance scans using deep learning - a pilot study

Accuracy of deep learning-based integrated tooth models by merging intraoral scans and CBCT scans for 3D evaluation of root position during orthodontic treatment

Intra-oral scan segmentation using deep learning

Gingival shape analysis using surface curvature estimation of the intraoral scans

Monitoring of Erosive Tooth Wear with Intraoral Scanners In vitro

Correction: Gingival shape analysis using surface curvature estimation of the intraoral scans

Accuracy of intraoral scans: an in vivo study of different scanning devices

Towards automated segmentation of dense range scans

Hybrid Convolutional and Graph-Convolutional Framework for Segmentation Refinement

Caries detection with tooth surface segmentation on intraoral photographic images using deep learning

Fusion of intra-oral scans in cone-beam computed tomography scans

Accuracy of single tooth positions on 3D intraoral scans of patients with orthodontic multi-bracket appliances

Automated tooth segmentation in magnetic resonance scans using deep learning - a pilot study

Accuracy of deep learning-based integrated tooth models by merging intraoral scans and CBCT scans for 3D evaluation of root position during orthodontic treatment

Intra-oral scan segmentation using deep learning

Gingival shape analysis using surface curvature estimation of the intraoral scans

Monitoring of Erosive Tooth Wear with Intraoral Scanners In vitro

Correction: Gingival shape analysis using surface curvature estimation of the intraoral scans

Accuracy of intraoral scans: an in vivo study of different scanning devices

Towards automated segmentation of dense range scans

Hybrid Convolutional and Graph-Convolutional Framework for Segmentation Refinement

Caries detection with tooth surface segmentation on intraoral photographic images using deep learning

Fusion of intra-oral scans in cone-beam computed tomography scans

Accuracy of single tooth positions on 3D intraoral scans of patients with orthodontic multi-bracket appliances

Automated tooth segmentation in magnetic resonance scans using deep learning - a pilot study

Accuracy of deep learning-based integrated tooth models by merging intraoral scans and CBCT scans for 3D evaluation of root position during orthodontic treatment

Intra-oral scan segmentation using deep learning

Gingival shape analysis using surface curvature estimation of the intraoral scans

Monitoring of Erosive Tooth Wear with Intraoral Scanners In vitro

Correction: Gingival shape analysis using surface curvature estimation of the intraoral scans

Accuracy of intraoral scans: an in vivo study of different scanning devices

Towards automated segmentation of dense range scans

Hybrid Convolutional and Graph-Convolutional Framework for Segmentation Refinement

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