Diagnosis of COVID-19 Using Deep Learning Augmented with Contour Detection on X-rays
Author:
Publisher
Springer Nature Singapore
Link
https://link.springer.com/content/pdf/10.1007/978-981-19-7867-8_16
Reference20 articles.
1. Ahsan, Md.M., Based, J.H., Kowalski, M., et al.: COVID-19 detection from chest X-ray images using feature fusion and deep learning. Sensors 21(4), 1480 (2021)
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3. Bai, Y., Yao, L., Wei, T., Tian, F., Jin, D.-Y., Chen, L., Wang, M.: Presumed asymptomatic carrier transmission of COVID-19. Jama 323(14), 1406–1407 (2020)
4. Bishop, C.M.: Neural networks and their applications. Rev. Sci. Instrum. 65(6), 1803–1832 (1994)
5. Cabello, F., León, J., Iano, Y., Arthur, R.: Implementation of a fixed-point 2D Gaussian filter for image processing based on FPGA. In: 2015 Signal Processing: Algorithms, Architectures, Arrangements, and Applications (SPA), pp. 28–33. IEEE (2015)
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