An Automated Oral Cancer Detection System Using Deep Learning Feature Extraction and Tree-Based Classification

Author(s)	Mr. Akash Kumar Bhagat, Dr. Arvind Kumar Pandey
Country	India
Abstract	Oral cancer represents a major global health threat because early detection with timely medical treatment improves patient outcomes. Diagnostic procedures face challenges which include both subjective evaluation and problems with identifying changes at advanced disease stages. This study introduces an innovative hybrid technique which employs deep learning and machine learning together with advanced computer vision methods to enhance oral cancer detection accuracy through biomedical imaging. The framework employs a pre-trained CNN model which functions as an automatic feature extractor because it can detect intricate hierarchical patterns within large image datasets
Keywords	Oral Cancer Detection, Machine Learning,, CNN, Random Forest etc.
Field	Computer > Artificial Intelligence / Simulation / Virtual Reality
Published In	Volume 8, Issue 2, March-April 2026
Published On	2026-04-16
DOI	https://doi.org/10.36948/ijfmr.2026.v08i02.74922

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