A Review of Deep Learning Application in Oral Cancer Prognosis

Oral Cancer is one of the most common cancers caused in the oral cavity region that damages oral epithelial cells due to uncontrolled growth of the cells. Chewing tobacco, smoking and betel quid are potential reasons for oral cancer. With the advancement of Deep learning (DL) in biomedical image classification, automated image classification can aid in effective and early treatment of oral cancer. This paper discusses the technical aspects and applications of DL techniques in oral cancer detection. We also present a comprehensive comparison of various studies related to oral cancer detection and prediction in the paper.