Safakish, A.; Sannachi, L.; Moslemi, A.; Pejović-Milić, A.; Czarnota, G.J.
Deep Texture Analysis—Enhancing CT Radiomics Features for Prediction of Head and Neck Cancer Treatment Outcomes: A Machine Learning Approach. Radiation 2024, 4, 50-68.
https://doi.org/10.3390/radiation4010005
AMA Style
Safakish A, Sannachi L, Moslemi A, Pejović-Milić A, Czarnota GJ.
Deep Texture Analysis—Enhancing CT Radiomics Features for Prediction of Head and Neck Cancer Treatment Outcomes: A Machine Learning Approach. Radiation. 2024; 4(1):50-68.
https://doi.org/10.3390/radiation4010005
Chicago/Turabian Style
Safakish, Aryan, Lakshmanan Sannachi, Amir Moslemi, Ana Pejović-Milić, and Gregory J. Czarnota.
2024. "Deep Texture Analysis—Enhancing CT Radiomics Features for Prediction of Head and Neck Cancer Treatment Outcomes: A Machine Learning Approach" Radiation 4, no. 1: 50-68.
https://doi.org/10.3390/radiation4010005
APA Style
Safakish, A., Sannachi, L., Moslemi, A., Pejović-Milić, A., & Czarnota, G. J.
(2024). Deep Texture Analysis—Enhancing CT Radiomics Features for Prediction of Head and Neck Cancer Treatment Outcomes: A Machine Learning Approach. Radiation, 4(1), 50-68.
https://doi.org/10.3390/radiation4010005