Texture-based image feature analysis for the classification of oral squamous cell carcinoma using machine learning approach.
- DOI
- 10.1186/s12903-025-07482-1
- Published
- 2025 Dec 27
- Container
- BMC oral health
- Publisher
- Not recorded
- Open access
- yes
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Cite this work
BibTeX
@article{allodium:10.1186/s12903-025-07482-1,
title = {Texture-based image feature analysis for the classification of oral squamous cell carcinoma using machine learning approach.},
author = {Bahaa S and Ramadan O and Darwish ZE and El-Fiky E and Saleh MM},
year = {2025},
journal = {BMC oral health},
doi = {10.1186/s12903-025-07482-1},
url = {https://doi.org/10.1186/s12903-025-07482-1}
}RIS
TY - JOUR TI - Texture-based image feature analysis for the classification of oral squamous cell carcinoma using machine learning approach. AU - Bahaa S AU - Ramadan O AU - Darwish ZE AU - El-Fiky E AU - Saleh MM PY - 2025 JO - BMC oral health DO - 10.1186/s12903-025-07482-1 UR - https://doi.org/10.1186/s12903-025-07482-1 ER -
APA
S, B., O, R., ZE, D., E, E., & MM, S. (2025). Texture-based image feature analysis for the classification of oral squamous cell carcinoma using machine learning approach.. BMC oral health. https://doi.org/10.1186/s12903-025-07482-1
Source records
- pubmed · retrieved 2026-09-25T13:52:27.573Z