Classification of Oral Squamous Cell Carcinoma from Histopathological Images Using a Hybrid Deep Learning Model.

Talo F, Ozer AB

DOI: 10.3390/diagnostics16182885
Published: 2026 Sep 8
Container: Diagnostics (Basel, Switzerland)
Publisher: Not recorded
Open access: unknown

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Cite this work

BibTeX

@article{allodium:10.3390/diagnostics16182885,
  title = {Classification of Oral Squamous Cell Carcinoma from Histopathological Images Using a Hybrid Deep Learning Model.},
  author = {Talo F and Ozer AB},
  year = {2026},
  journal = {Diagnostics (Basel, Switzerland)},
  doi = {10.3390/diagnostics16182885},
  url = {https://doi.org/10.3390/diagnostics16182885}
}

RIS

TY  - JOUR
TI  - Classification of Oral Squamous Cell Carcinoma from Histopathological Images Using a Hybrid Deep Learning Model.
AU  - Talo F
AU  - Ozer AB
PY  - 2026
JO  - Diagnostics (Basel, Switzerland)
DO  - 10.3390/diagnostics16182885
UR  - https://doi.org/10.3390/diagnostics16182885
ER  -

APA

F, T., & AB, O. (2026). Classification of Oral Squamous Cell Carcinoma from Histopathological Images Using a Hybrid Deep Learning Model.. Diagnostics (Basel, Switzerland). https://doi.org/10.3390/diagnostics16182885

Source records

pubmed · retrieved 2026-09-26T22:03:31.900Z