Abstract
The COVID-19 infection has firmly affected all nations globally. COVID-19 disease is a lung infection by the novel CORONA virus. The present study aims to develop a binary classification deep neural network that identifies the COVID-19 disease on chest X-ray scans. The proposed model divides the chest X-rays is two classes; one is a normal chest X-ray or the other is covid infected. The model has utilized the benefit of the transfer learning method and implemented the ResNet-50 pre-trained model as the backbone model. 1200 chest X-rays have been used to conduct this study while the achieved accuracy is 97.92%. The proposed model also manifests the effect of deep learning techniques in the medical imaging domain.
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Sharma, P., Bhatt, D.P. (2022). COVID-19 Identification on Chest X-rays with Deep Learning Technique. In: Gupta, D., Polkowski, Z., Khanna, A., Bhattacharyya, S., Castillo, O. (eds) Proceedings of Data Analytics and Management . Lecture Notes on Data Engineering and Communications Technologies, vol 91. Springer, Singapore. https://doi.org/10.1007/978-981-16-6285-0_10
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DOI: https://doi.org/10.1007/978-981-16-6285-0_10
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