f PSbBO-Net: A Hybrid Particle Swarm and Bayesian Optimization-based DenseNet for Lung Cancer Detection using Histopathological and CT Images
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Research Article |

PSbBO-Net: A Hybrid Particle Swarm and Bayesian Optimization-based DenseNet for Lung Cancer Detection using Histopathological and CT Images

Author(s): Saurabh Singh Raghuvanshi*, K. V. Arya and Vinal Patel

Published In : International Journal of Electrical and Electronics Research (IJEER)        Volume 12, Issue 3

Publisher : FOREX Publication

Published : 25 September 2024

e-ISSN : 2347-470X

Page(s) : 1074-1086

DOI: https://doi.org/10.37391/IJEER.120343

Abstract

Lung cancer remains a substantial global fatality; early detection is imperative for successful intervention and treatment. Deep learning (DL) models have shown promise in predicting lung cancer from medical images, but optimizing their parameters remains a challenging task. To improve prediction capability, this study introduces an approach by merging Particle Swarm Optimization and Bayesian Optimization (PSbBO) to optimize deep learning parameters. PSO provides an effective way for exploring the hyperparameter space, while Bayesian optimization provides a probabilistic framework for the effective evaluation and refining of a DL network. The simulation study showcases the effectiveness of the proposed model, achieving notable metrics for histopathological images, including an accuracy of 99.5%, precision of 98.3%, recall of 99.2%, F1-score of 99.4%, and an error rate of 1.19%. Furthermore, when applied to lung CT images, the proposed PSbBO demonstrates an accuracy of 98.8%, precision of 97.4%, recall of 98.3%, F1-score of 98.6%, and an error rate of 1.21%.

Keywords: Lung cancer detection, Deep learning, Particle Swarm Optimization, Bayesian Optimization.




Saurabh Singh Raghuvanshi*, Multimedia and Information Security Research Group, Department of Computer Science and Engineering, ABV-Indian Institute of Information Technology and Management, Gwalior-474015, India; Email: saurabhr@iiitm.ac.in

K. V. Arya, Multimedia and Information Security Research Group, Department of Computer Science and Engineering, ABV-Indian Institute of Information Technology and Management, Gwalior-474015, India; Email: kvarya@iiitm.ac.in

Vinal Patel, Department of Electrical and Electronics Engineering, ABV-Indian Institute of Information Technology and Management, Gwalior-474015, India; Email: vp@iiitm.ac.in

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Saurabh Singh Raghuvanshi, K. V. Arya and Vinal Patel (2024), PSbBO-Net: A Hybrid Particle Swarm and Bayesian Optimization-based DenseNet for Lung Cancer Detection using Histopathological and CT Images. IJEER 12(3), 1074-1086. DOI: 10.37391/IJEER.120343.