"
Single Tooth Segmentation on Panoramic X-Rays Using End-to-End Deep Neural Networks"
written by Yu Sun, Jing Feng, Huang Du, Juan Liu, Baochuan Pang, Cheng Li, Jinxian Li, Dehua Cao,
published by
Open Journal of Stomatology,
Vol.14 No.6, 2024
has been cited by the following article(s):
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[1]
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YOLO-TeethSeg: a resource-efficient approach to multi-class teeth instance segmentation using lightweight YOLO-based models
Biomedical Signal Processing and Control,
2026
DOI:10.1016/j.bspc.2026.109952
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[2]
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An Attention-Enhanced U–KAN Framework for Automated Dental Radiograph Segmentation
2025 28th International Conference on Computer and Information Technology (ICCIT),
2025
DOI:10.1109/ICCIT68739.2025.11491781
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[3]
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Adapting SAM2 Model from Natural Images for Tooth Segmentation in Dental Panoramic X-Ray Images
Entropy,
2024
DOI:10.3390/e26121059
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[4]
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Cue-Aided Multi-Class Segmentation (CAMS): A Novel Approach for Enhanced Modelling in Dental Panoramic Imaging
2024 International Conference on Innovation and Intelligence for Informatics, Computing, and Technologies (3ICT),
2024
DOI:10.1109/3ict64318.2024.10824665
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