Classification of histopathological images for oral cancer in early stages using a deep learning approach

Classification of histopathological images for oral cancer in early stages using a deep learning approach

Problem – Diagnosing early-stage oral squamous cell carcinoma (OSCC) is necessary for patient treatment and survival. The staining normalization and augmentation of histopathological images can play an important role in improving the accuracy of early oral cancer (OC) detection, especially with imba...

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Bibliographic Details
Main Authors: Alsaedi Raneem Y., Alsharif Hussam J.
Format: Article
Language:English
Published: De Gruyter 2025-07-01
Series:Journal of Intelligent Systems
Subjects:
oral cancer
cancer classification
oral leukoplakia
leukoplakia with dysplasia
deep learning
transfer learning
histopathological images
Online Access:https://doi.org/10.1515/jisys-2024-0284
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https://doi.org/10.1515/jisys-2024-0284

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