Al Bataineh, A.F.; Nahar, K.M.O.; Khafajeh, H.; Samara, G.; Alazaidah, R.; Nasayreh, A.; Bashkami, A.; Gharaibeh, H.; Dawaghreh, W.
Enhanced Magnetic Resonance Imaging-Based Brain Tumor Classification with a Hybrid Swin Transformer and ResNet50V2 Model. Appl. Sci. 2024, 14, 10154.
https://doi.org/10.3390/app142210154
AMA Style
Al Bataineh AF, Nahar KMO, Khafajeh H, Samara G, Alazaidah R, Nasayreh A, Bashkami A, Gharaibeh H, Dawaghreh W.
Enhanced Magnetic Resonance Imaging-Based Brain Tumor Classification with a Hybrid Swin Transformer and ResNet50V2 Model. Applied Sciences. 2024; 14(22):10154.
https://doi.org/10.3390/app142210154
Chicago/Turabian Style
Al Bataineh, Abeer Fayez, Khalid M. O. Nahar, Hayel Khafajeh, Ghassan Samara, Raed Alazaidah, Ahmad Nasayreh, Ayah Bashkami, Hasan Gharaibeh, and Waed Dawaghreh.
2024. "Enhanced Magnetic Resonance Imaging-Based Brain Tumor Classification with a Hybrid Swin Transformer and ResNet50V2 Model" Applied Sciences 14, no. 22: 10154.
https://doi.org/10.3390/app142210154
APA Style
Al Bataineh, A. F., Nahar, K. M. O., Khafajeh, H., Samara, G., Alazaidah, R., Nasayreh, A., Bashkami, A., Gharaibeh, H., & Dawaghreh, W.
(2024). Enhanced Magnetic Resonance Imaging-Based Brain Tumor Classification with a Hybrid Swin Transformer and ResNet50V2 Model. Applied Sciences, 14(22), 10154.
https://doi.org/10.3390/app142210154
