Oral cancer detection via Vanilla CNN optimized by improved artificial protozoa optimizer

Oral cancer detection via Vanilla CNN optimized by improved artificial protozoa optimizer

Abstract In this study, we propose a new method for oral cancer detection using a modified Vanilla Convolutional Neural Network (CNN) architecture with incorporated batch normalization, dropout regularization, and a customized design structure for the convolutional block. An Improved Artificial Prot...

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Bibliographic Details
Main Authors: Yulong Chai, Xiuqing Chai, Lan Zhang, Gang Ye, Fatima Rashid Sheykhahmad
Format: Article
Language:English
Published: Nature Portfolio 2025-08-01
Series:Scientific Reports
Subjects:
Oral Cancer detection
Vanilla convolutional neural networks
Preprocessing
Metaheuristic optimization
Improved artificial Protozoa optimizer
Image classification
Online Access:https://doi.org/10.1038/s41598-025-11861-7
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https://doi.org/10.1038/s41598-025-11861-7

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