Stacked Generalization-Based Deep Learning Approach for Pneumonia Detection

Year : 2025 | Volume : 12 | Issue : 03 | Page : 20 31
    By

    Jyoti Dabass,

  • Bhupender Singh Dabass,

  1. Postdoctoral Research Associate, Department of Electronics & Electrical Communication, Yardi School of Artificial Intelligence, Indian Institute of Technology Delhi, Hauz Khas, New Delhi, India
  2. Student, Department of Law, Institute of Law and Research, Faridabad, Haryana, India

Abstract

The proposed work focuses on a stacked generalization-based approach for diagnosing pneumonia from chest X-ray images. It utilizes regularization, early stopping, and data augmentation to deal with overfitting. It uses safe level SMOTE to deal with class imbalance and attention-based feature fusion to adaptively weigh features based on their importance. It uses two publicly available datasets (RSNA and Kermany) with ground truth provided by expert radiologists. The proposed work used ChexNet, SqueezeNet, and EfficientNet-B0, as ChexNet has already been fine-tuned on chest X-ray images, SqueezeNet uses its parameters efficiently, and EfficientNet-B0 balances accuracy and efficiency with limited parameters. We experimented with different regularization methods and optimizers to identify the most effective combinations of hyperparameters for our model training. Ensembling these basic classifiers adds diversity and makes it more generalizable for adaptation to unseen data with limited training parameters. Experimental results show that the proposed work is better compared to other state-of-the-art techniques, providing 99.4% accuracy on the Kermany dataset and 98.5% accuracy on the RSNA dataset. It shall be useful to the radiologists in improving the efficiency of pneumonia detection and thus will be beneficial in saving lives.

Keywords: Pneumonia detection, stacked generalization-based approach, chest X-ray images, RSNA and Kermany, SMOTE

[This article belongs to Journal of Image Processing & Pattern Recognition Progress ]

How to cite this article:
Jyoti Dabass, Bhupender Singh Dabass. Stacked Generalization-Based Deep Learning Approach for Pneumonia Detection. Journal of Image Processing & Pattern Recognition Progress. 2025; 12(03):20-31.
How to cite this URL:
Jyoti Dabass, Bhupender Singh Dabass. Stacked Generalization-Based Deep Learning Approach for Pneumonia Detection. Journal of Image Processing & Pattern Recognition Progress. 2025; 12(03):20-31. Available from: https://journals.stmjournals.com/joipprp/article=2025/view=227995


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Regular Issue Subscription Review Article
Volume 12
Issue 03
Received 25/06/2025
Accepted 16/07/2025
Published 19/09/2025
Publication Time 86 Days
210

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