Automated detection and classification of oral lesions using deep learning for early detection of oral cancer

• Main Authors: Welikala, Roshan Alex, Remagnino, Paolo, Lim, Jian Han, Chan, Chee Seng, Rajendran, Senthilmani, Kallarakkal, Thomas George, Zain, Rosnah Binti, Jayasinghe, Ruwan Duminda, Rimal, Jyotsna, Kerr, Alexander Ross, Amtha, Rahmi, Patil, Karthikeya, Tilakaratne, Wanninayake Mudiyanselage, Gibson, John, Cheong, Sok Ching, Barman, Sarah Ann
• Format: Article
• Published: Institute of Electrical and Electronics Engineers 2020
• Subjects: QA75 Electronic computers. Computer science; RK Dentistry
• Online Access: http://eprints.um.edu.my/37201/

Oral cancer is a major global health issue accounting for 177,384 deaths in 2018 and it is most prevalent in low- and middle-income countries. Enabling automation in the identification of potentially malignant and malignant lesions in the oral cavity would potentially lead to low-cost and early diag...