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COVID-19 detection from Chest X-ray images using a novel lightweight hybrid CNN architecture

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Abstract

The pandemic of COVID-19 has affected worldwide population. Diagnosing this highly contagious disease at an initial stage is essential for controlling its spread. In this paper, we propose a novel lightweight hybrid convolutional neural network to identify COVID-19-positive patients from Chest X-ray images using building blocks of MobileNet and ResNet50. This model shows improvement over the base models when applied to the same dataset independently. The proposed model is trained and tested on same configuration and dataset as that of its base models, for better performance analysis and comparison. It also has fewer parameters as compared to MobileNet and ResNet50, which makes it lightweight, adding to its better performance. It achieves an accuracy of 98.47 % with very few false negative predicted samples, which is extremely beneficial in medical diagnosis. Concerning the parameters, this model is built with only 200,034 trainable parameters, which marks a parameter reduction percentage of 99.15 % concerning ResNet50 and 93.82% compared to MobileNet. The generalisation performance of our proposed model is evaluated using stratified 5-fold cross validation technique. Our model achieved very good accuracy with very less parameters as compared to various state-of-the-art models. The model also classified Pneumonia images from Normal ones with an accuracy of 98.9 %.

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Author notes

  1. Ramesh Dharavath contributed equally to this work.

Authors and Affiliations

  1. Department of Computer Science and Engineering, National Institute of Technology, Farmagudi, Ponda, 403401, Goa, India

    Pooja Pradeep Dalvi, Damodar Reddy Edla & B.R Purushothama

  2. Department of Computer Science and Engineering, Indian Institute of Technology (ISM), Dhanbad, India

    Ramesh Dharavath

Authors
  1. Pooja Pradeep Dalvi
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  2. Damodar Reddy Edla
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  3. B.R Purushothama
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  4. Ramesh Dharavath
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Correspondence to Damodar Reddy Edla.

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Pradeep Dalvi, P., Reddy Edla, D., Purushothama, B. et al. COVID-19 detection from Chest X-ray images using a novel lightweight hybrid CNN architecture. Multimed Tools Appl (2024). https://doi.org/10.1007/s11042-024-19311-8

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