A Deep Learning Approach for Mandibular Condyle Segmentation on Ultrasonography.

Keser G, Yülek H, Öner Talmaç AG, Bayrakdar İŞ, Namdar Pekiner F, Çelik Ö.

DOI: 10.1007/s10278-025-01527-1
Published: 2025-05-06
Container: J Imaging Inform Med
Publisher: Not recorded
Open access: no

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Cite this work

BibTeX

@article{allodium:10.1007/s10278-025-01527-1,
  title = {A Deep Learning Approach for Mandibular Condyle Segmentation on Ultrasonography.},
  author = {Keser G and  Yülek H and  Öner Talmaç AG and  Bayrakdar İŞ and  Namdar Pekiner F and  Çelik Ö.},
  year = {2026},
  journal = {J Imaging Inform Med},
  doi = {10.1007/s10278-025-01527-1},
  url = {https://doi.org/10.1007/s10278-025-01527-1}
}

RIS

TY  - JOUR
TI  - A Deep Learning Approach for Mandibular Condyle Segmentation on Ultrasonography.
AU  - Keser G
AU  -  Yülek H
AU  -  Öner Talmaç AG
AU  -  Bayrakdar İŞ
AU  -  Namdar Pekiner F
AU  -  Çelik Ö.
PY  - 2026
JO  - J Imaging Inform Med
DO  - 10.1007/s10278-025-01527-1
UR  - https://doi.org/10.1007/s10278-025-01527-1
ER  -

APA

G, K., H, Y., AG, Ö. T., İŞ, B., F, N. P., & Ö., Ç. (2026). A Deep Learning Approach for Mandibular Condyle Segmentation on Ultrasonography.. J Imaging Inform Med. https://doi.org/10.1007/s10278-025-01527-1

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europe-pmc · retrieved 2026-09-26T10:44:15.494Z