Covid-19 Disease Prediction System from X-Ray Images Using Convolutional Neural Network
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Publisher
Springer Nature Singapore
Link
https://link.springer.com/content/pdf/10.1007/978-981-99-9489-2_14
Reference4 articles.
1. Ayalew AM, Salau AO, Abeje BT, Enyew B (2022) Detection and classification of COVID-19 disease from X-ray images using convolutional neural networks and histogram of oriented gradients. Biomed Signal Process Control 74:103530. https://doi.org/10.1016/j.bspc.2022.103530
2. Farooq M, Hafeez A (2020) COVID-ResNet: a deep learning framework for screening of COVID19 from radiographs. arXiv:eess.IV/2003.14395
3. He K, Zhang X, Ren S, Sun J (2016) Deep residual learning for image recognition. In: 2016 IEEE conference on computer vision and pattern recognition (CVPR), pp 770–778. https://doi.org/10.1109/CVPR.2016.90
4. Indumathi N, Shanmuga Eswari M, Salau AO, Ramalakshmi R, Revathy R (2022) Prediction of COVID-19 outbreak with current substantiation using machine learning algorithms. Springer, Singapore, pp 171–190. https://doi.org/10.1007/978-981-16-6542-4_10
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