He, A.; Wang, P.; Zhu, A.; Liu, Y.; Chen, J.; Liu, L.
Predicting IDH Mutation Status in Low-Grade Gliomas Based on Optimal Radiomic Features Combined with Multi-Sequence Magnetic Resonance Imaging. Diagnostics 2022, 12, 2995.
https://doi.org/10.3390/diagnostics12122995
AMA Style
He A, Wang P, Zhu A, Liu Y, Chen J, Liu L.
Predicting IDH Mutation Status in Low-Grade Gliomas Based on Optimal Radiomic Features Combined with Multi-Sequence Magnetic Resonance Imaging. Diagnostics. 2022; 12(12):2995.
https://doi.org/10.3390/diagnostics12122995
Chicago/Turabian Style
He, Ailing, Peng Wang, Aihua Zhu, Yankui Liu, Jianhuan Chen, and Li Liu.
2022. "Predicting IDH Mutation Status in Low-Grade Gliomas Based on Optimal Radiomic Features Combined with Multi-Sequence Magnetic Resonance Imaging" Diagnostics 12, no. 12: 2995.
https://doi.org/10.3390/diagnostics12122995
APA Style
He, A., Wang, P., Zhu, A., Liu, Y., Chen, J., & Liu, L.
(2022). Predicting IDH Mutation Status in Low-Grade Gliomas Based on Optimal Radiomic Features Combined with Multi-Sequence Magnetic Resonance Imaging. Diagnostics, 12(12), 2995.
https://doi.org/10.3390/diagnostics12122995