Pneumonia Detection Using Deep Learning: A Bibliometric Study
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Publisher
Springer Nature Switzerland
Link
https://link.springer.com/content/pdf/10.1007/978-3-031-43145-6_16
Reference54 articles.
1. Sirazitdinov, I., Kholiavchenko, M., Mustafaev, T., Yixuan, Y., Kuleev, R., Ibragimov, B.: Deep neural network ensemble for pneumonia localization from a large-scale chest x-ray database. Comput. Electr. Eng. 78, 388–399 (2019). https://doi.org/10.1016/j.compeleceng.2019.08.004
2. Stephen, O., Sain, M., Maduh, U.J., Jeong, D.U.: An efficient deep learning approach to pneumonia classification in healthcare. J. Healthc. Eng. 2019 (2019). https://doi.org/10.1155/2019/4180949
3. Chouhan, V., Singh, S.K., Khamparia, A., et al.: A novel transfer learning based approach for pneumonia detection in chest X-ray images. Appl Sci. 10(2) (2020). https://doi.org/10.3390/app10020559
4. Naskinova, I.: On convolutional neural networks for chest X-ray classification. IOP Conf. Ser. Mater. Sci. Eng. 1031(1), 012075 (2021). https://doi.org/10.1088/1757-899x/1031/1/012075
5. Automatic detection of major lung diseases using chest radiographs and classification by feed-forward artificial neural network, pp. 1–5 (2016)
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