A novel deep neural network model based Xception and genetic algorithm for detection of COVID-19 from X-ray images
Author:
Publisher
Springer Science and Business Media LLC
Subject
Management Science and Operations Research,General Decision Sciences
Link
https://link.springer.com/content/pdf/10.1007/s10479-022-05151-y.pdf
Reference57 articles.
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2. Alhudhaif, A., Polat, K., & Karaman, O. (2021). Determination of COVID-19 pneumonia based on generalized convolutional neural network model from chest X-ray images. Expert Systems with Applications, 180, 115141. https://doi.org/10.1016/j.eswa.2021.115141
3. Apostolopoulos, I. D., & Mpesiana, T. A. (2020). Covid-19: Automatic detection from X-ray images utilizing transfer learning with convolutional neural networks. Physical and Engineering Sciences in Medicine, 43(2), 635–640. https://doi.org/10.1007/s13246-020-00865-4
4. Arab Momeni, M., Mostofi, A., Jain, V., & Soni, G. (2022). COVID19 epidemic outbreak: Operating rooms scheduling, specialty teams timetabling and emergency patients’ assignment using the robust optimization approach. Annals of Operations Research. https://doi.org/10.1007/s10479-022-04667-7
5. Basu, S., Mitra, S., & Saha, N. (2020). Deep learning for screening COVID-19 using chest X-ray images. In 2020 IEEE symposium series on computational intelligence (SSCI) (pp. 2521–2527). Presented at the 2020 IEEE symposium series on computational intelligence (SSCI). https://doi.org/10.1109/SSCI47803.2020.9308571
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