Computer-aided diagnosis of Oral Squamous Cell Carcinoma: a feature-based transfer learning approach

Oral cancer, particularly Oral Squamous Cell Carcinoma (OSCC), has a high mortality rate due to late detection. However, manual diagnosis is difficult and time-consuming. Hence, the employment of machine learning methods has been explored to aid diagnosis through automated image classification. This...

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Bibliographic Details

Main Authors:	Abdul Majeed, Anwar P P, Mohd Isa, Wan Hasbullah, Abdul Rauf, Ahmad Ridhauddin, Ab Nasir, Ahmad Fakhri, Arzmi, Mohd Hafiz, Hafizh, Hadyan, Eng, Hwa Yap
Format:	Proceeding Paper
Language:	en en
Published:	Springer 2024
Subjects:	RK318 Oral and Dental Medicine. Pathology. Diseases-Therapeutics-General Works
Online Access:	http://irep.iium.edu.my/114606/1/114606_Computer-aided%20diagnosis.pdf http://irep.iium.edu.my/114606/7/114606_Computer-aided%20diagnosis_SCOPUS.pdf http://irep.iium.edu.my/114606/ https://link.springer.com/chapter/10.1007/978-981-99-8498-5_34
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