Ahmed Hamza, M.; Abdullah Mengash, H.; Alotaibi, S.S.; Hassine, S.B.H.; Yafoz, A.; Althukair, F.; Othman, M.; Marzouk, R.
Optimal and Efficient Deep Learning Model for Brain Tumor Magnetic Resonance Imaging Classification and Analysis. Appl. Sci. 2022, 12, 7953.
https://doi.org/10.3390/app12157953
AMA Style
Ahmed Hamza M, Abdullah Mengash H, Alotaibi SS, Hassine SBH, Yafoz A, Althukair F, Othman M, Marzouk R.
Optimal and Efficient Deep Learning Model for Brain Tumor Magnetic Resonance Imaging Classification and Analysis. Applied Sciences. 2022; 12(15):7953.
https://doi.org/10.3390/app12157953
Chicago/Turabian Style
Ahmed Hamza, Manar, Hanan Abdullah Mengash, Saud S. Alotaibi, Siwar Ben Haj Hassine, Ayman Yafoz, Fahd Althukair, Mahmoud Othman, and Radwa Marzouk.
2022. "Optimal and Efficient Deep Learning Model for Brain Tumor Magnetic Resonance Imaging Classification and Analysis" Applied Sciences 12, no. 15: 7953.
https://doi.org/10.3390/app12157953
APA Style
Ahmed Hamza, M., Abdullah Mengash, H., Alotaibi, S. S., Hassine, S. B. H., Yafoz, A., Althukair, F., Othman, M., & Marzouk, R.
(2022). Optimal and Efficient Deep Learning Model for Brain Tumor Magnetic Resonance Imaging Classification and Analysis. Applied Sciences, 12(15), 7953.
https://doi.org/10.3390/app12157953