Polish Journal of Pathology
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2/2025
vol. 76
 
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Original paper

Histopathological image analysis and enhanced diagnostic accuracy explainability for oral cancer detection

V.P. Gladis Pushparathi
1
,
Sylaja Vallee NarayanS.R
2
,
Pratheeba R.S.
3
,
V. Naveen
4

  1. Department of Computer Science and Engineering, R.M.K. College of Engineering and Technology, R.S.M. Nagar, Puduvoyal, Thiruvalur Dist, Tamil Nadu, India
  2. Department of Computer Science and Engineering, GITAM University, Bangalore, Karnataka, India
  3. Department of Computer Science and Engineering, Velammal Institute of Technology, Panchetti, Chennai, Tamil Nadu, India
  4. Department of Computer Science and Engineering, Madanapalle Institute of Technology and Science, Madanapalle, Andhra Pradesh, India
Pol JPathol 2025; 76 (2): 120-130
DOI: https://doi.org/10.5114/pjp.2025.153973
Online publish date: 2025/09/22
Article file
- PJP-03176.pdf  [2.18 MB]
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16. Oral Cancer Histopathological Image Dataset Link: https:// www.kaggle.com/datasets/ashenafifasilkebede/dataset (Access: Jul 2023).
17. Multi Cancer Dataset Link: https://www.kaggle.com/datasets/ obulisainaren/multi-cancer (Access: Jul 2023).
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19. Ahmad M, Irfan MA, Sadique U, et al. Multi-Method Analysis of Histopathological Image for Early Diagnosis of Oral Squa­mous Cell Carcinoma Using Deep Learning and Hybrid Tech­niques. Cancers (Basel) 2023; 15: 5247.
20. Redie DK, Bilgaiyan S, Sagnika S. Oral cancer detection using transfer learning-based framework from histopathology imag­es. J Electronic Imaging 2023; 32: 053004-053004.
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Copyright: © 2025 Polish Association of Pathologists and the Polish Branch of the International Academy of Pathology This is an Open Access article distributed under the terms of the Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0) License (http://creativecommons.org/licenses/by-nc-sa/4.0/), allowing third parties to copy and redistribute the material in any medium or format and to remix, transform, and build upon the material, provided the original work is properly cited and states its license.
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