Al-Ekrish, A.; Hussain, S.A.; ElGibreen, H.; Almurshed, R.; Alhusain, L.; Hörmann, R.; Widmann, G.
Prediction of the as Low as Diagnostically Acceptable CT Dose for Identification of the Inferior Alveolar Canal Using 3D Convolutional Neural Networks with Multi-Balancing Strategies. Diagnostics 2023, 13, 1220.
https://doi.org/10.3390/diagnostics13071220
AMA Style
Al-Ekrish A, Hussain SA, ElGibreen H, Almurshed R, Alhusain L, Hörmann R, Widmann G.
Prediction of the as Low as Diagnostically Acceptable CT Dose for Identification of the Inferior Alveolar Canal Using 3D Convolutional Neural Networks with Multi-Balancing Strategies. Diagnostics. 2023; 13(7):1220.
https://doi.org/10.3390/diagnostics13071220
Chicago/Turabian Style
Al-Ekrish, Asma’a, Syed Azhar Hussain, Hebah ElGibreen, Rana Almurshed, Luluah Alhusain, Romed Hörmann, and Gerlig Widmann.
2023. "Prediction of the as Low as Diagnostically Acceptable CT Dose for Identification of the Inferior Alveolar Canal Using 3D Convolutional Neural Networks with Multi-Balancing Strategies" Diagnostics 13, no. 7: 1220.
https://doi.org/10.3390/diagnostics13071220
APA Style
Al-Ekrish, A., Hussain, S. A., ElGibreen, H., Almurshed, R., Alhusain, L., Hörmann, R., & Widmann, G.
(2023). Prediction of the as Low as Diagnostically Acceptable CT Dose for Identification of the Inferior Alveolar Canal Using 3D Convolutional Neural Networks with Multi-Balancing Strategies. Diagnostics, 13(7), 1220.
https://doi.org/10.3390/diagnostics13071220
