Automated 3D segmentation of the hyoid bone in CBCT using nnU-Net v2: a retrospective study on model performance and potential clinical utility

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Publication Details

Journal
BMC Medical Imaging
Published
2025-07-01
DOI
https://doi.org/10.1186/s12880-025-01797-9
Citations
1
Primary Topic
Dental Radiography and Imaging
Type
article
Field-Weighted Citation Impact
1.79
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article

Automated 3D segmentation of the hyoid bone in CBCT using nnU-Net v2: a retrospective study on model performance and potential clinical utility

İsmail Gümüşsoy, Seyda Say, Emre Haylaz, Şuayip Burak Duman et al.
1 citations
BMC Medical Imaging
Dental Radiography and Imaging
1.79
article

Automated 3D segmentation of the hyoid bone in CBCT using nnU-Net v2: a retrospective study on model performance and potential clinical utility

İsmail Gümüşsoy, Seyda Say, Emre Haylaz, Şuayip Burak Duman, Özer Çelik, İbrahim Şevki Bayrakdar, Fahrettin Kalabalık
article en
1 citations

Abstract

No abstract available for this paper.
BMC Medical ImagingVol. 25(1)
Sakarya University (TR), Inonu University (TR), Eskişehir Osmangazi University (TR)
Openalex Percentile: Top 15%
Dental Radiography and Imaging
1.79
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