SSDA_AOA: Stacked Sparse Denoising Autoencoder With Archimedes Optimization Algorithm Based Oral Cancer Detection on Histopathological Images

This innovative approach may significantly enhance patient outcomes by facilitating earlier diagnosis and treatment, addressing the urgent need for more reliable diagnostic tools in oncology.

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Publication Details

Journal
Oral Diseases
Published
2026-02-01
DOI
https://doi.org/10.1111/odi.70210
Primary Topic
AI in cancer detection
Type
article
Field-Weighted Citation Impact
0.00
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article

SSDA_AOA: Stacked Sparse Denoising Autoencoder With Archimedes Optimization Algorithm Based Oral Cancer Detection on Histopathological Images

M. Govindarajan, R. Sathish Kumar
Oral Diseases
AI in cancer detection
article

SSDA_AOA: Stacked Sparse Denoising Autoencoder With Archimedes Optimization Algorithm Based Oral Cancer Detection on Histopathological Images

M. Govindarajan, R. Sathish Kumar
article en

Abstract

This innovative approach may significantly enhance patient outcomes by facilitating earlier diagnosis and treatment, addressing the urgent need for more reliable diagnostic tools in oncology.

Oral Diseases
Annamalai University (IN)
Reduced inequalities
Openalex Percentile: Top 72%
AI in cancer detection
DOIOpen Access PDFOpenAlex
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SSDA_AOA: Stacked Sparse Denoising Autoencoder With Archimedes Optimization Algorithm Based Oral Cancer Detection on Histopathological Images — M. Govindarajan, R. Sathish Kumar · Oral Diseases (2026) | TGRS Research Map | TGRS