Comparison of deep learning segmentation and multigrader-annotated mandibular canals of multicenter CBCT scans
- Location
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Deutsche Nationalbibliothek Frankfurt am Main
- ISSN
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2045-2322
- Extent
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Online-Ressource
- Language
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Englisch
- Notes
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online resource.
- Bibliographic citation
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Comparison of deep learning segmentation and multigrader-annotated mandibular canals of multicenter CBCT scans ; volume:12 ; number:1 ; day:3 ; month:11 ; year:2022 ; pages:1-11 ; date:12.2022
Scientific reports ; 12, Heft 1 (3.11.2022), 1-11, 12.2022
- Creator
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Järnstedt, Jorma
Sahlsten, Jaakko
Jaskari, Joel
Kaski, Kimmo
Mehtonen, Helena
Lin, Ziyuan
Hietanen, Ari
Sundqvist, Osku
Varjonen, Vesa
Mattila, Vesa
Prapayasotok, Sangsom
Nalampang, Sakarat
- Contributor
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SpringerLink (Online service)
- DOI
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10.1038/s41598-022-20605-w
- URN
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urn:nbn:de:101:1-2023011821120435608826
- Rights
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Open Access; Der Zugriff auf das Objekt ist unbeschränkt möglich.
- Last update
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15.08.2025, 7:27 AM CEST
Data provider
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Deutsche Nationalbibliothek. If you have any questions about the object, please contact the data provider.
Associated
- Järnstedt, Jorma
- Sahlsten, Jaakko
- Jaskari, Joel
- Kaski, Kimmo
- Mehtonen, Helena
- Lin, Ziyuan
- Hietanen, Ari
- Sundqvist, Osku
- Varjonen, Vesa
- Mattila, Vesa
- Prapayasotok, Sangsom
- Nalampang, Sakarat
- SpringerLink (Online service)
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Metal artifacts in intraoperative O-arm CBCT scans
Incidental findings in cone beam computed tomography (CBCT) scans for implant treatment planning: a retrospective study of 404 CBCT scans
Accuracy of in vitro mandibular volumetric measurements from CBCT of different voxel sizes with different segmentation threshold settings
AI-driven segmentation of the pulp cavity system in mandibular molars on CBCT images using convolutional neural networks
AI-based automatic segmentation of craniomaxillofacial anatomy from CBCT scans for automatic detection of pharyngeal airway evaluations in OSA patients
Canal-Net for automatic and robust 3D segmentation of mandibular canals in CBCT images using a continuity-aware contextual network
Automatic segmentation and classification of frontal sinuses for sex determination from CBCT scans using a two-stage anatomy-guided attention network
Towards automated segmentation of dense range scans
Safe regions of miniscrew implantation for distalization of mandibular dentition with CBCT
Panoramic Radiograph and CBCT in Unilateral Mandibular Condylar Hyperplasia—A Case Report
Author Correction: Canal-Net for automatic and robust 3D segmentation of mandibular canals in CBCT images using a continuity-aware contextual network
Accurate mandibular canal segmentation of dental CBCT using a two-stage 3D-UNet based segmentation framework
Metal artifacts in intraoperative O-arm CBCT scans
Incidental findings in cone beam computed tomography (CBCT) scans for implant treatment planning: a retrospective study of 404 CBCT scans
Accuracy of in vitro mandibular volumetric measurements from CBCT of different voxel sizes with different segmentation threshold settings
AI-driven segmentation of the pulp cavity system in mandibular molars on CBCT images using convolutional neural networks
AI-based automatic segmentation of craniomaxillofacial anatomy from CBCT scans for automatic detection of pharyngeal airway evaluations in OSA patients
Canal-Net for automatic and robust 3D segmentation of mandibular canals in CBCT images using a continuity-aware contextual network
Automatic segmentation and classification of frontal sinuses for sex determination from CBCT scans using a two-stage anatomy-guided attention network
Towards automated segmentation of dense range scans
Safe regions of miniscrew implantation for distalization of mandibular dentition with CBCT
Panoramic Radiograph and CBCT in Unilateral Mandibular Condylar Hyperplasia—A Case Report