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Makale Tam Makale Uluslararası 2025

Advancing forensic dentistry: a comprehensive review of machine learning and deep learning applications in dental image analysis

Abdullah Ammar Karcıoğlu, Rabia Meryem Yılmaz, Mete Yağanoğlu, Mahmoud Almohammad, Abubekir Laloğlu

Neural Computing and Applications Cilt 37 · ss. 24997–25032 · 01.09.2025
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Sürdürülebilir Kalkınma Amaçları

  • SKA 3: Sağlıklı Bireyler

Atıf için künye

Karcıoğlu, A. A., Yılmaz, R. M., Yağanoğlu, M., Almohammad, M., & Laloğlu, A. (2025). Advancing forensic dentistry: a comprehensive review of machine learning and deep learning applications in dental image analysis. Neural Computing and Applications, 37, 24997–25032. https://doi.org/10.1007/s00521-025-11612-9

BibTeX 
@article{karcioglu2025-176344,
  author = {Karcıoğlu, Abdullah Ammar and Yılmaz, Rabia Meryem and Yağanoğlu, Mete and Almohammad, Mahmoud and Laloğlu, Abubekir},
  title = {Advancing forensic dentistry: a comprehensive review of machine learning and deep learning applications in dental image analysis},
  journal = {Neural Computing and Applications},
  year = {2025},
  volume = {37},
  pages = {24997--25032},
  issn = {0941-0643},
  doi = {10.1007/s00521-025-11612-9},
  url = {https://akademik.atauni.edu.tr/yayinlar/176344-advancing-forensic-dentistry-a-comprehensive-review-of-machine-learning-and-deep}
}