Deep learning-based craniosynostosis classification via suture segmentation and mask-weighted classification.

Park D, Jung YU, Kim BJ, Yoo J, Chung J, Jeon S, Kwon H, Kwon S, Choi KY, Shin J, Yang IH

DOI: 10.3389/fmed.2026.1871961
Published: 2026
Container: Frontiers in medicine
Publisher: Not recorded
Open access: yes

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Cite this work

BibTeX

@article{allodium:10.3389/fmed.2026.1871961,
  title = {Deep learning-based craniosynostosis classification via suture segmentation and mask-weighted classification.},
  author = {Park D and Jung YU and Kim BJ and Yoo J and Chung J and Jeon S and Kwon H and Kwon S and Choi KY and Shin J and Yang IH},
  year = {2026},
  journal = {Frontiers in medicine},
  doi = {10.3389/fmed.2026.1871961},
  url = {https://doi.org/10.3389/fmed.2026.1871961}
}

RIS

TY  - JOUR
TI  - Deep learning-based craniosynostosis classification via suture segmentation and mask-weighted classification.
AU  - Park D
AU  - Jung YU
AU  - Kim BJ
AU  - Yoo J
AU  - Chung J
AU  - Jeon S
AU  - Kwon H
AU  - Kwon S
AU  - Choi KY
AU  - Shin J
AU  - Yang IH
PY  - 2026
JO  - Frontiers in medicine
DO  - 10.3389/fmed.2026.1871961
UR  - https://doi.org/10.3389/fmed.2026.1871961
ER  -

APA

D, P., YU, J., BJ, K., J, Y., J, C., S, J., H, K., S, K., KY, C., J, S., & IH, Y. (2026). Deep learning-based craniosynostosis classification via suture segmentation and mask-weighted classification.. Frontiers in medicine. https://doi.org/10.3389/fmed.2026.1871961

Source records

pubmed · retrieved 2026-09-26T03:25:39.977Z