Abstract
Pneumonia is a potentially fatal disease that accounts for huge loss of life worldwide, especially in paediatric cases. It can be caused by viral, bacterial, fungal or Covid-19 infection. In the case of Covid-19 Pneumonia, the disease progresses very swiftly if proper medical care is not provided for the patients. This work focuses on providing a model that can accurately detect Pneumonia from among various other pulmonary diseases. The proposed model uses CNN-based feature extractor along with machine learning classifiers: Random Forest (RF), Support Vector Machine (SVM) and Logistic Regression (LR). We have used five different datasets to overcome the concerns raised about generalization of the model in some of the previous works. Our proposed model gives encouraging results and shows marked improvement in classifying pneumonia.
B. H. Shekar and H. Hailu—Contributing authors.
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Shekar, B.H., Mannan, S., Hailu, H. (2023). Pneumonia Detection Using Deep Learning Based Feature Extraction and Machine Learning. In: Gupta, D., Bhurchandi, K., Murala, S., Raman, B., Kumar, S. (eds) Computer Vision and Image Processing. CVIP 2022. Communications in Computer and Information Science, vol 1777. Springer, Cham. https://doi.org/10.1007/978-3-031-31417-9_45
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