Performance of deep learning models for the classification and object detection of different oral white lesions using photographic images

Performance of deep learning models for the classification and object detection of different oral white lesions using photographic images

Abstract Computer vision adjunctive technology for oral lesion diagnoses has been developed to detect and identify Oral Potentially Malignant Disorders (OPMDs) and non-OPMDs. The early detection of OPMDs can reduce the risk of oral cancer development, improving the survival rate of the patients. Thi...

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Main Authors: Siribang-on Piboonniyom Khovidhunkit, Kunchidsong Phosri, Bhornsawan Thanathornwong, Dulyapong Rungraungrayabkul, Suvit Poomrittigul, Treesukon Treebupachatsakul
Format: Article
Language:English
Published: Nature Portfolio 2025-08-01
Series:Scientific Reports
Subjects:
Oral white lesions
Deep learning
Classification
Object detection
Cancer
Online Access:https://doi.org/10.1038/s41598-025-14450-w
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https://doi.org/10.1038/s41598-025-14450-w

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