Cite
A deep learning-based semiautomated workflow for triaging follow-up MR scans in treated nasopharyngeal carcinoma
MLA
Ying-Ying Huang, et al. “A Deep Learning-Based Semiautomated Workflow for Triaging Follow-up MR Scans in Treated Nasopharyngeal Carcinoma.” IScience, vol. 26, no. 12, Dec. 2023. EBSCOhost, https://doi.org/10.1016/j.isci.2023.108347.
APA
Ying-Ying Huang, Yi-Shu Deng, Yang Liu, Meng-Yun Qiang, Wen-Ze Qiu, Wei-Xiong Xia, Bing-Zhong Jing, Chen-Yang Feng, Hao-Hua Chen, Xun Cao, Jia-Yu Zhou, Hao-Yang Huang, Ze-Jiang Zhan, Ying Deng, Lin-Quan Tang, Hai-Qiang Mai, Ying Sun, Chuan-Miao Xie, Xiang Guo, … Chao-Feng Li. (2023). A deep learning-based semiautomated workflow for triaging follow-up MR scans in treated nasopharyngeal carcinoma. IScience, 26(12). https://doi.org/10.1016/j.isci.2023.108347
Chicago
Ying-Ying Huang, Yi-Shu Deng, Yang Liu, Meng-Yun Qiang, Wen-Ze Qiu, Wei-Xiong Xia, Bing-Zhong Jing, et al. 2023. “A Deep Learning-Based Semiautomated Workflow for Triaging Follow-up MR Scans in Treated Nasopharyngeal Carcinoma.” IScience 26 (12). doi:10.1016/j.isci.2023.108347.