Zhang, W.; Zhang, W.; Li, X.; Cao, X.; Yang, G.; Zhang, H.
Predicting Tumor Perineural Invasion Status in High-Grade Prostate Cancer Based on a Clinical–Radiomics Model Incorporating T2-Weighted and Diffusion-Weighted Magnetic Resonance Images. Cancers 2023, 15, 86.
https://doi.org/10.3390/cancers15010086
AMA Style
Zhang W, Zhang W, Li X, Cao X, Yang G, Zhang H.
Predicting Tumor Perineural Invasion Status in High-Grade Prostate Cancer Based on a Clinical–Radiomics Model Incorporating T2-Weighted and Diffusion-Weighted Magnetic Resonance Images. Cancers. 2023; 15(1):86.
https://doi.org/10.3390/cancers15010086
Chicago/Turabian Style
Zhang, Wei, Weiting Zhang, Xiang Li, Xiaoming Cao, Guoqiang Yang, and Hui Zhang.
2023. "Predicting Tumor Perineural Invasion Status in High-Grade Prostate Cancer Based on a Clinical–Radiomics Model Incorporating T2-Weighted and Diffusion-Weighted Magnetic Resonance Images" Cancers 15, no. 1: 86.
https://doi.org/10.3390/cancers15010086
APA Style
Zhang, W., Zhang, W., Li, X., Cao, X., Yang, G., & Zhang, H.
(2023). Predicting Tumor Perineural Invasion Status in High-Grade Prostate Cancer Based on a Clinical–Radiomics Model Incorporating T2-Weighted and Diffusion-Weighted Magnetic Resonance Images. Cancers, 15(1), 86.
https://doi.org/10.3390/cancers15010086
