A VGG16 feature-based transfer learning evaluation for the diagnosis of Oral Squamous Cell Carcinoma (OSCC)

• Main Authors: Arzmi, Mohd Hafiz, P.P. Abdul Majeed, Anwar, Musa, Rabiu Muazu, Mohd Razman, Mohd Azraai, Gan, Hong-Seng, Mohd Khairuddin, Ismail, Ab. Nasir, Ahmad Fakhri
• Format: Book Chapter
• Language: English
• Published: Springer 2023
• Subjects: R Medicine (General); RK Dentistry
• Online Access: http://irep.iium.edu.my/103896/2/103896_A%20VGG16%20feature-based%20transfer%20learning%20evaluation%20for%20the%20diagnosis.pdf; http://irep.iium.edu.my/103896/; https://link.springer.com/chapter/10.1007/978-981-19-8937-7_2

Oral Squamous Cell Carcinoma (OSCC) is the most prevalent type of oral cancer. Early detection of such cancer could increase a patient’s survival rate by 83%. This chapter shall explore the use of a feature-based transfer learning model, i.e., VGG16 coupled with different types of conventional machi...