Automatic Detection of Sinus Membrane Thickness Using a Hybrid Deep Learning Model Integrating Multiple Attention Mechanisms.
- DOI
- 10.3390/jcm15186988
- Published
- 2026 Sep 9
- Container
- Journal of clinical medicine
- Publisher
- Not recorded
- Open access
- yes
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Cite this work
BibTeX
@article{allodium:10.3390/jcm15186988,
title = {Automatic Detection of Sinus Membrane Thickness Using a Hybrid Deep Learning Model Integrating Multiple Attention Mechanisms.},
author = {Talo F and Duger N and Dagtekin B and Karaduman M and Yildirim M and Yildirim TT},
year = {2026},
journal = {Journal of clinical medicine},
doi = {10.3390/jcm15186988},
url = {https://doi.org/10.3390/jcm15186988}
}RIS
TY - JOUR TI - Automatic Detection of Sinus Membrane Thickness Using a Hybrid Deep Learning Model Integrating Multiple Attention Mechanisms. AU - Talo F AU - Duger N AU - Dagtekin B AU - Karaduman M AU - Yildirim M AU - Yildirim TT PY - 2026 JO - Journal of clinical medicine DO - 10.3390/jcm15186988 UR - https://doi.org/10.3390/jcm15186988 ER -
APA
F, T., N, D., B, D., M, K., M, Y., & TT, Y. (2026). Automatic Detection of Sinus Membrane Thickness Using a Hybrid Deep Learning Model Integrating Multiple Attention Mechanisms.. Journal of clinical medicine. https://doi.org/10.3390/jcm15186988
Source records
- pubmed · retrieved 2026-11-10T20:10:07.227Z