Accurate and lightweight oral cancer detection using SE-MobileViT on clinically validated image dataset

Accurate and lightweight oral cancer detection using SE-MobileViT on clinically validated image dataset

Abstract Oral cancer poses a critical global health challenge, with early detection significantly improving patient survival rates and treatment outcomes. This study proposes an advanced deep learning-based diagnostic model, LightSE-MobileViT, specifically designed to classify oral cancer using medi...

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Bibliographic Details
Main Authors: Md Firoz Kabir, Md Yousuf Ahmad, Roise Uddin, Martin Cordero, Shashi Kant
Format: Article
Language:English
Published: Springer 2025-07-01
Series:Discover Artificial Intelligence
Subjects:
Oral cancer detection
Lightweight deep learning
MobileViT transformer
Squeeze-and-excitation (SE) module
Medical imaging
Online Access:https://doi.org/10.1007/s44163-025-00442-2
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https://doi.org/10.1007/s44163-025-00442-2

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