Detection of COVID-19 Using Machine Learning
Author:
Publisher
Springer Nature Singapore
Link
https://link.springer.com/content/pdf/10.1007/978-981-19-7867-8_13
Reference24 articles.
1. Ai, T., Yang, Z., Hou, H., Zhan, C., Chen, C., Lv, W., Tao, Q., Sun, Z., Xia, L.: Correlation of chest CT and RT-PCR testing for coronavirus disease 2019 (COVID-19) in china: a report of 1014 cases. Radiology 296(2), E32–E40 (2020)
2. Alpaydin, E.: Introduction to Machine Learning. MIT Press (2020)
3. Anastasopoulos, C., Weikert, T., Yang, S., Abdulkadir, A., Schmülling, L., Bühler, C., Paciolla, F., Sexauer, R., Cyriac, J., Nesic, I., et al.: Development and clinical implementation of tailored image analysis tools for COVID-19 in the midst of the pandemic: the synergetic effect of an open, clinically embedded software development platform and machine learning. Eur. J. Radiol. 131, 109233 (2020)
4. Apostolopoulos, I.D., Mpesiana, T.A.: COVID-19: automatic detection from X-ray images utilizing transfer learning with convolutional neural networks. Phys. Eng. Sci. Med. 43(2), 635–640 (2020)
5. Bonaccorso, G.: Machine Learning Algorithms. Packt Publishing Ltd (2017)
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