Oral Cancer Detection Using Deep Learning

Authors: Pallavi M R, Dr.Manjunath M, Dr. Evangelin Geetha D

Abstract: Oral cancer is a major health concern globally, and early detection plays a vital role in successful treatment and improved survival rates. This paper presents an innovative diagnostic system that employs advanced deep learning models to analyze images of the oral cavity alongside patient health data. By combining convolutional neural networks for image analysis with recurrent neural networks for sequential data processing, the system achieves enhanced precision in detecting early signs of oral cancer. Additionally, the use of explainable AI techniques provides transparency in decision-making, helping clinicians to better interpret results and build trust in the system. Designed to be adaptable, this solution supports mobile imaging devices and emphasizes patient data privacy, making it suitable for both well-equipped hospitals and resource-limited settings. Experimental results validate the system’s capability to deliver accurate, fast, and reliable diagnoses, which could significantly improve early intervention and patient care in oral oncology.