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Fusion Model For Covid-19 Diagnosis Using Chest X-Ray Images

Mohammed Hafeez M. K, M. Sharmila Kumari, Hana Fathima, Haleemathul Shifa Tahseen, Shrama K, Vaishnavi N Shetty

Abstract


The COVID-19 pandemic increased at an exponential rate and faced a major problem due to the restricted accessibility of rapid test kits. The radio-imaging approach recommends that the images comprise important data related to coronaviruses. The proposed FM-HCF-DLF model is comprised of Gaussian filtering-based pre-processing, a fusion model for feature extraction and classification. The proposed FM model is a combination of handcrafted features with the help of local binary patterns (LBP), deep learning (DL) features and the convolutional neural network (CNN)-based Inception v3 technique using the Adam optimizer. The multilayer perceptron (MLP) is employed to carry out the classification process. The proposed FM-HCF-DLF model used a chest X-ray dataset for experimentation purposes. The experimental outcomes yielded superior performance with a maximum sensitivity of 93.61%, specificity of 94.56%, the precision of 94.85%, the accuracy of 94.08%, F score of 93.2% and kappa value of 93.5%.


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References


Fan Y, Zhao K, Shi Z, Zhou P (2019) Bat coronaviruses in China. Viruses. 11:210

Chen Y, Liu Q, Guo D (2020) Emerging coronaviruses: genome structure, replication, and pathogenesis. J Med Virol 92:418–423

Setio AAA, Ciompi F, Litjens G, Gerke P, Jacobs C, van Riel SJ et al (2016) Pulmonary nodule detection in CT images: false positive reduction using multi-view convolutional networks. IEEE Trans Med Imaging 35(5):1160–1169

Xia K, Yin H, Qian P, Jiang Y, Wang S (2019) Liver semantic segmentation algorithm based on improved deep adversarial networks in combination of weighted loss function on abdominal CT images. IEEE Access 7:96349–96358

Pezeshk A, Hamidian S, Petrick N, Sahiner B (2019) 3-D convolutional neural networks for automatic detection of pulmonary nodules in chest CT. IEEE J Biomed Health Inform 23(5):2080–2090

Prakasa E (2016) Texture feature extraction by applying local binary pattern (LBP). INKOM J 9(2):45–48

Nardelli P, Jimenez-Carretero D, Bermejo-Pelaez D, Washko GR, Rahaghi FN, Ledesma-Carbayo MJ et al (2018) Pulmonary artery–vein classification in CT images using deep learning. IEEE Trans Med Imaging 37(11):2428–2440.


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