Adamu, M.J.; Kawuwa, H.B.; Qiang, L.; Nyatega, C.O.; Younis, A.; Fahad, M.; Dauya, S.S.
Efficient and Accurate Brain Tumor Classification Using Hybrid MobileNetV2–Support Vector Machine for Magnetic Resonance Imaging Diagnostics in Neoplasms. Brain Sci. 2024, 14, 1178.
https://doi.org/10.3390/brainsci14121178
AMA Style
Adamu MJ, Kawuwa HB, Qiang L, Nyatega CO, Younis A, Fahad M, Dauya SS.
Efficient and Accurate Brain Tumor Classification Using Hybrid MobileNetV2–Support Vector Machine for Magnetic Resonance Imaging Diagnostics in Neoplasms. Brain Sciences. 2024; 14(12):1178.
https://doi.org/10.3390/brainsci14121178
Chicago/Turabian Style
Adamu, Mohammed Jajere, Halima Bello Kawuwa, Li Qiang, Charles Okanda Nyatega, Ayesha Younis, Muhammad Fahad, and Salisu Samaila Dauya.
2024. "Efficient and Accurate Brain Tumor Classification Using Hybrid MobileNetV2–Support Vector Machine for Magnetic Resonance Imaging Diagnostics in Neoplasms" Brain Sciences 14, no. 12: 1178.
https://doi.org/10.3390/brainsci14121178
APA Style
Adamu, M. J., Kawuwa, H. B., Qiang, L., Nyatega, C. O., Younis, A., Fahad, M., & Dauya, S. S.
(2024). Efficient and Accurate Brain Tumor Classification Using Hybrid MobileNetV2–Support Vector Machine for Magnetic Resonance Imaging Diagnostics in Neoplasms. Brain Sciences, 14(12), 1178.
https://doi.org/10.3390/brainsci14121178