Artificial Intelligence-based Oral Cancer Screening System using Smartphones

作者：Parnasree Chakraborty, C. Tharini, Ambika Arunachalam, S. Syed Rafiammal · 发表于：Engineering Technology & Applied Science Research · 年份：2023 · DOI：10.48084/etasr.6364 · 被引用次数：7 · 研究领域：Oral Health Pathology and Treatment、COVID-19 diagnosis using AI、Scientific and Engineering Research Topics

About one-fifth of all oral cancer cases reported globally are from India. The low-income groups in India are affected most due to the wide exposure to risk factors such as tobacco chewing and insufficient access to early diagnostic tools. Visual examination and histological study are the standard for oral cancer detection. This paper proposes the idea of using Autofluorescence-based imaging techniques to detect and classify oral cancer using AI algorithms. Various features of the images along with medical history, age, gender, and tobacco usage are considered as inputs to the proposed Mobilenet classification architecture.