Cite
Artificial Intelligence Segmented Dynamic Video Images for Continuity Analysis in the Detection of Severe Cardiovascular Disease.
MLA
Zhu, Xi, et al. “Artificial Intelligence Segmented Dynamic Video Images for Continuity Analysis in the Detection of Severe Cardiovascular Disease.” Frontiers in Neuroscience, vol. 14, Feb. 2021, p. 618481. EBSCOhost, https://doi.org/10.3389/fnins.2020.618481.
APA
Zhu, X., Xia, W., Bao, Z., Zhong, Y., Fang, Y., Yang, F., Gu, X., Ye, J., & Huang, W. (2021). Artificial Intelligence Segmented Dynamic Video Images for Continuity Analysis in the Detection of Severe Cardiovascular Disease. Frontiers in Neuroscience, 14, 618481. https://doi.org/10.3389/fnins.2020.618481
Chicago
Zhu, Xi, Wei Xia, Zhuqing Bao, Yaohui Zhong, Yu Fang, Fei Yang, Xiaohua Gu, Jing Ye, and Wennuo Huang. 2021. “Artificial Intelligence Segmented Dynamic Video Images for Continuity Analysis in the Detection of Severe Cardiovascular Disease.” Frontiers in Neuroscience 14 (February): 618481. doi:10.3389/fnins.2020.618481.