• Shubham Nidan
• Tejasweeni Hampe
• Ajinkya Khoje
• Madhur Shete

One of the most serious tumors, oral cancer affects and develops in the neck and mouth cavity. The main risk factors for oral cancer are tobacco abuse and cigarette smoking. This method generates a set of features that will aid classifiers in automatically determining the state of an image. On the datasets, various machine learning techniques are used, and their effectiveness is examined. Using CNN, the derived features were categorized. The findings show that oral cancer may be accurately classified according to its various stages. Therefore, using CNN to classify different oral tumors can be done so more effectively.

Convolutional Neural Network, Image Processing, Oral Cancer

"Oral Cancer Detection and Indication", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.10, Issue 5, page no.492-497, May-2023, Available :http://www.jetir.org/papers/JETIRFX06085.pdf

"Oral Cancer Detection and Indication", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.10, Issue 5, page no. pp492-497, May-2023, Available at : http://www.jetir.org/papers/JETIRFX06085.pdf