Multivariate and multi-dimensional CFAR radar image for breast cancer detection
Author:
Publisher
Springer Science and Business Media LLC
Subject
Electrical and Electronic Engineering,Signal Processing
Link
https://link.springer.com/content/pdf/10.1007/s11760-023-02773-y.pdf
Reference31 articles.
1. Jabeen, K., et al.: BC2NetRF: breast cancer classification from mammogram images using enhanced deep learning features and equilibrium-Jaya controlled regula falsi-based features selection. J Diagnost 13(7), 1238 (2023). https://doi.org/10.3390/diagnostics13071238
2. Allugunti, V.R.: Breast cancer detection based on thermographic images using machine learning and deep learning algorithms. J. Int. J. Eng. Comput. Sci. 4(1), 49–56 (2022). https://doi.org/10.33545/26633582
3. Heller, S.L., Moy, L.: Breast cancer screening and health care costs. JAMA Intern. Med. 180(11), 1552–1553 (2020). https://doi.org/10.1001/jamainternmed.2020.2374
4. Mehedi, I.M., et al.: Intelligent Tomographic microwave imaging for breast tumor localization. J. Math. Probl. Eng. (2022). https://doi.org/10.1155/2022/4090351
5. Janjic, A., et al.: SAFE: a novel microwave imaging system design for breast cancer screening and early detection: clinical evaluation. J. Diagn. 11(3), 533 (2021). https://doi.org/10.3390/diagnostics11030533
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