COVID-19 Detection from Chest X-Ray Images Using CNN Models and Deep Learning
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Publisher
Springer Nature Switzerland
Link
https://link.springer.com/content/pdf/10.1007/978-3-031-50158-6_29
Reference25 articles.
1. WHO: WHO coronavirus disease (COVID-19). https://www.who.int/health-topics/coronavirus. Last accessed 21 May 2022
2. Rahaman, M.M., et al.: Identification of COVID-19 samples from chest X-ray images using deep learning: a comparison of transfer learning approaches. J. X-Ray. Sci. Technol. 28, 821–839 (2020). https://doi.org/10.3233/XST-200715
3. Moin, N.B., Islam, N., Sultana, S., Chhoa, L.A., Ruhul Kabir Howlader, S.M., Ripon, S.H.: Disease detection of Bangladeshi crops using image processing and deep learning—a comparative analysis. In: 2022 2nd International Conference on Intelligent Technologies. CONIT 2022, pp. 1–8 (2022). https://doi.org/10.1109/CONIT55038.2022.9847715
4. Sarvamangala, D.R., Kulkarni, R.V.: Convolutional neural networks in medical image understanding: a survey. Evol. Intel. 15(1), 1–22 (2021). https://doi.org/10.1007/s12065-020-00540-3
5. Panwar, H., Gupta, P.K., Siddiqui, M.K., Morales-Menendez, R., Singh, V.: Application of deep learning for fast detection of COVID-19 in X-rays using nCOVnet. Chaos Solitons Fractals 138, 109944 (2020). https://doi.org/10.1016/j.chaos.2020.109944
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