SSDA_AOA: Stacked Sparse Denoising Autoencoder With Archimedes Optimization Algorithm Based Oral Cancer Detection on Histopathological Images.
Objectives: This study aims to address the challenges in the diagnosis of oral cancer by proposing a novel computer‐aided diagnostic framework that leverages advanced deep learning (DL) and optimization techniques to enhance early detection and improve patient outcomes. Materials and Methods: In the...
| Published in: | Oral Diseases Vol. 32; no. 6; pp. 1556 - 1571 |
|---|---|
| Main Authors: | , |
| Format: | algorithm equations & formulas pictorial research tables/charts Journal Article |
| Published: |
Wiley-Blackwell
Jun2026
|
| Online Access: | View this record in EBSCOhost |