Publisher
Springer Nature Switzerland
Reference32 articles.
1. Rahman, T., et al.: Exploring the effect of image enhancement techniques on covid-19 detection using chest x-ray images. Comput. Biol. Med. 132, 104319 (2021). https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7946571/
2. Chowdhury, M.E., et al.: Can AI help in screening viral and covid-19 pneumonia? IEEE Access 8, 132665–132676 (2020)
3. Nayak, S.R., Nayak, D.R., Sinha, U., Arora, V., Pachori, R.B.: Application of deep learning techniques for detection of covid-19 cases using chest x-ray images: A comprehensive study. Biomed. Signal Process. Control 64, 102365 (2021)
4. Ozturk, T., Talo, M., Yildirim, E.A., Baloglu, U.B., Yildirim, O., Acharya, U.R.: Automated detection of covid-19 cases using deep neural networks with x-ray images. Comput. Biol. Med. 121, 103792 (2020)
5. Wang, L., Lin, Z.Q., Wong, A.: Covid-net: a tailored deep convolutional neural network design for detection of covid-19 cases from chest x-ray images. Sci. Rep. 10(1), 19549 (2020)