Artificial intelligence—based diagnosis of oral leukoplakia using deep convolutional neural networks Xception and MobileNet-v2

Artificial intelligence—based diagnosis of oral leukoplakia using deep convolutional neural networks Xception and MobileNet-v2

ObjectiveThe present study aims to employ and compare the artificial intelligence (AI) convolutional neural networks (CNN) Xception and MobileNet-v2 for the diagnosis of Oral leukoplakia (OL) and to differentiate its clinical types from other white lesions of the oral cavity.Materials and methodsCli...

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Bibliographic Details
Main Authors: Elakya Ramesh, Anuradha Ganesan, Krithika Chandrasekar Lakshmi, Prabhu Manickam Natarajan
Format: Article
Language:English
Published: Frontiers Media S.A. 2025-03-01
Series:Frontiers in Oral Health
Subjects:
oral premalignant disorder
oral leukoplakia
convolutional neural networks
artificial intelligence
deep learning
diagnostic accuracy
Online Access:https://www.frontiersin.org/articles/10.3389/froh.2025.1414524/full
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https://www.frontiersin.org/articles/10.3389/froh.2025.1414524/full

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