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

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

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...

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Bibliographic Details
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
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Institution: Universiti Islam Antarabangsa Malaysia
Language: English

Internet

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

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