Rehman, S.u.; Khan, M.A.; Masood, A.; Almujally, N.A.; Baili, J.; Alhaisoni, M.; Tariq, U.; Zhang, Y.-D.
BRMI-Net: Deep Learning Features and Flower Pollination-Controlled Regula Falsi-Based Feature Selection Framework for Breast Cancer Recognition in Mammography Images. Diagnostics 2023, 13, 1618.
https://doi.org/10.3390/diagnostics13091618
AMA Style
Rehman Su, Khan MA, Masood A, Almujally NA, Baili J, Alhaisoni M, Tariq U, Zhang Y-D.
BRMI-Net: Deep Learning Features and Flower Pollination-Controlled Regula Falsi-Based Feature Selection Framework for Breast Cancer Recognition in Mammography Images. Diagnostics. 2023; 13(9):1618.
https://doi.org/10.3390/diagnostics13091618
Chicago/Turabian Style
Rehman, Shams ur, Muhamamd Attique Khan, Anum Masood, Nouf Abdullah Almujally, Jamel Baili, Majed Alhaisoni, Usman Tariq, and Yu-Dong Zhang.
2023. "BRMI-Net: Deep Learning Features and Flower Pollination-Controlled Regula Falsi-Based Feature Selection Framework for Breast Cancer Recognition in Mammography Images" Diagnostics 13, no. 9: 1618.
https://doi.org/10.3390/diagnostics13091618
APA Style
Rehman, S. u., Khan, M. A., Masood, A., Almujally, N. A., Baili, J., Alhaisoni, M., Tariq, U., & Zhang, Y.-D.
(2023). BRMI-Net: Deep Learning Features and Flower Pollination-Controlled Regula Falsi-Based Feature Selection Framework for Breast Cancer Recognition in Mammography Images. Diagnostics, 13(9), 1618.
https://doi.org/10.3390/diagnostics13091618