Allioui, H.; Mohammed, M.A.; Benameur, N.; Al-Khateeb, B.; Abdulkareem, K.H.; Garcia-Zapirain, B.; Damaševičius, R.; Maskeliūnas, R.
A Multi-Agent Deep Reinforcement Learning Approach for Enhancement of COVID-19 CT Image Segmentation. J. Pers. Med. 2022, 12, 309.
https://doi.org/10.3390/jpm12020309
AMA Style
Allioui H, Mohammed MA, Benameur N, Al-Khateeb B, Abdulkareem KH, Garcia-Zapirain B, Damaševičius R, Maskeliūnas R.
A Multi-Agent Deep Reinforcement Learning Approach for Enhancement of COVID-19 CT Image Segmentation. Journal of Personalized Medicine. 2022; 12(2):309.
https://doi.org/10.3390/jpm12020309
Chicago/Turabian Style
Allioui, Hanane, Mazin Abed Mohammed, Narjes Benameur, Belal Al-Khateeb, Karrar Hameed Abdulkareem, Begonya Garcia-Zapirain, Robertas Damaševičius, and Rytis Maskeliūnas.
2022. "A Multi-Agent Deep Reinforcement Learning Approach for Enhancement of COVID-19 CT Image Segmentation" Journal of Personalized Medicine 12, no. 2: 309.
https://doi.org/10.3390/jpm12020309
APA Style
Allioui, H., Mohammed, M. A., Benameur, N., Al-Khateeb, B., Abdulkareem, K. H., Garcia-Zapirain, B., Damaševičius, R., & Maskeliūnas, R.
(2022). A Multi-Agent Deep Reinforcement Learning Approach for Enhancement of COVID-19 CT Image Segmentation. Journal of Personalized Medicine, 12(2), 309.
https://doi.org/10.3390/jpm12020309