DeepCov19Net: Automated COVID-19 Disease Detection with a Robust and Effective Technique Deep Learning Approach
Author:
Publisher
Springer Science and Business Media LLC
Subject
Computer Networks and Communications,Hardware and Architecture,Theoretical Computer Science,Software
Link
https://link.springer.com/content/pdf/10.1007/s00354-021-00152-0.pdf
Reference49 articles.
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3. Xie, X., Zhong, Z., Zhao, W., et al.: Chest CT for typical coronavirus disease 2019 (COVID-19) pneumonia: relationship to negative RT-PCR testing. Radiology 296, E41–E45 (2020). https://doi.org/10.1148/radiol.2020200343
4. Chandra, T.B., Verma, K., Singh, B.K., et al.: Coronavirus disease (COVID-19) detection in chest X-ray images using majority voting based classifier ensemble. Expert Syst. Appl. 165, 113909 (2021). https://doi.org/10.1016/j.eswa.2020.113909
5. Tuncer, T., Dogan, S., Ozyurt, F.: An automated residual exemplar local binary pattern and iterative ReliefF based corona detection method using lung X-ray image. Chemom. Intell. Lab. Syst. 203, 104054 (2020). https://doi.org/10.1016/j.chemolab.2020.104054
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