MRI‐Based Back Propagation Neural Network Model as a Powerful Tool for Predicting the Response to Induction Chemotherapy in Locoregionally Advanced Nasopharyngeal Carcinoma.

MLA

Liao, Hai, et al. “MRI‐Based Back Propagation Neural Network Model as a Powerful Tool for Predicting the Response to Induction Chemotherapy in Locoregionally Advanced Nasopharyngeal Carcinoma.” Journal of Magnetic Resonance Imaging, vol. 56, no. 2, Aug. 2022, pp. 547–59. EBSCOhost, https://doi.org/10.1002/jmri.28047.

APA

Liao, H., Chen, X., Lu, S., Jin, G., Pei, W., Li, Y., Wei, Y., Huang, X., Wang, C., Liang, X., Bao, H., Liu, L., & Su, D. (2022). MRI‐Based Back Propagation Neural Network Model as a Powerful Tool for Predicting the Response to Induction Chemotherapy in Locoregionally Advanced Nasopharyngeal Carcinoma. Journal of Magnetic Resonance Imaging, 56(2), 547–559. https://doi.org/10.1002/jmri.28047

Chicago

Liao, Hai, Xiaobo Chen, Shaolu Lu, Guanqiao Jin, Wei Pei, Ye Li, Yunyun Wei, et al. 2022. “MRI‐Based Back Propagation Neural Network Model as a Powerful Tool for Predicting the Response to Induction Chemotherapy in Locoregionally Advanced Nasopharyngeal Carcinoma.” Journal of Magnetic Resonance Imaging 56 (2): 547–59. doi:10.1002/jmri.28047.