CLASEG: advanced multiclassification and segmentation for differential diagnosis of oral lesions using deep learning

CLASEG: advanced multiclassification and segmentation for differential diagnosis of oral lesions using deep learning

Abstract Oral cancer has a high mortality rate primarily due to delayed diagnoses, highlighting the need for early detection of oral lesions. This study presents a novel deep learning framework for multi-class classification-based segmentation, enabling accurate differential diagnosis of 14 common o...

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Bibliographic Details
Main Authors: Afnan Al-Ali, Ali Hamdi, Mohamed Elshrif, Keivin Isufaj, Khaled Shaban, Peter Chauvin, Sreenath Madathil, Ammar Daer, Faleh Tamimi, Raidan Ba-Hattab
Format: Article
Language:English
Published: Nature Portfolio 2025-07-01
Series:Scientific Reports
Subjects:
Oral lesion
Oral cancer
Classification
Segmentation
Deep learning
Early detection
Online Access:https://doi.org/10.1038/s41598-025-03268-1
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https://doi.org/10.1038/s41598-025-03268-1

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