Oral Cancer Detection Using Convolution Neural Networks

Abstract

Oral cancer, the most prevalent form of cancer globally, claims over 300 lives each year and poses a significant threat due to its high mortality rate. However, if detected early, there is a high likelihood of survival. Artificial intelligence techniques are aiding in faster and cost-effective cancer prediction. Oral diseases like periodontal issues, oral cancer, and tooth trauma are common non-communicable ailments causing significant morbidity and mortality. Detecting oral cancer early is crucial for successful treatment. Using microscopic biopsy images for cancer detection helps alleviate concerns and improve outcomes, but reliance on physical examinations can introduce human error and inconsistencies.