Mohammed, B.A.; Senan, E.M.; Al-Mekhlafi, Z.G.; Rassem, T.H.; Makbol, N.M.; Alanazi, A.A.; Almurayziq, T.S.; Ghaleb, F.A.; Sallam, A.A.
Multi-Method Diagnosis of CT Images for Rapid Detection of Intracranial Hemorrhages Based on Deep and Hybrid Learning. Electronics 2022, 11, 2460.
https://doi.org/10.3390/electronics11152460
AMA Style
Mohammed BA, Senan EM, Al-Mekhlafi ZG, Rassem TH, Makbol NM, Alanazi AA, Almurayziq TS, Ghaleb FA, Sallam AA.
Multi-Method Diagnosis of CT Images for Rapid Detection of Intracranial Hemorrhages Based on Deep and Hybrid Learning. Electronics. 2022; 11(15):2460.
https://doi.org/10.3390/electronics11152460
Chicago/Turabian Style
Mohammed, Badiea Abdulkarem, Ebrahim Mohammed Senan, Zeyad Ghaleb Al-Mekhlafi, Taha H. Rassem, Nasrin M. Makbol, Adwan Alownie Alanazi, Tariq S. Almurayziq, Fuad A. Ghaleb, and Amer A. Sallam.
2022. "Multi-Method Diagnosis of CT Images for Rapid Detection of Intracranial Hemorrhages Based on Deep and Hybrid Learning" Electronics 11, no. 15: 2460.
https://doi.org/10.3390/electronics11152460
APA Style
Mohammed, B. A., Senan, E. M., Al-Mekhlafi, Z. G., Rassem, T. H., Makbol, N. M., Alanazi, A. A., Almurayziq, T. S., Ghaleb, F. A., & Sallam, A. A.
(2022). Multi-Method Diagnosis of CT Images for Rapid Detection of Intracranial Hemorrhages Based on Deep and Hybrid Learning. Electronics, 11(15), 2460.
https://doi.org/10.3390/electronics11152460