Cite
Fully-automated functional region annotation of liver via a 2.5D class-aware deep neural network with spatial adaptation.
MLA
Tian, Yinli, et al. “Fully-Automated Functional Region Annotation of Liver via a 2.5D Class-Aware Deep Neural Network with Spatial Adaptation.” Computer Methods & Programs in Biomedicine, vol. 200, Mar. 2021, p. N.PAG. EBSCOhost, https://doi.org/10.1016/j.cmpb.2020.105818.
APA
Tian, Y., Xue, F., Lambo, R., He, J., An, C., Xie, Y., Cao, H., & Qin, W. (2021). Fully-automated functional region annotation of liver via a 2.5D class-aware deep neural network with spatial adaptation. Computer Methods & Programs in Biomedicine, 200, N.PAG. https://doi.org/10.1016/j.cmpb.2020.105818
Chicago
Tian, Yinli, Fei Xue, Ricardo Lambo, Jiahui He, Chao An, Yaoqin Xie, Hailin Cao, and Wenjian Qin. 2021. “Fully-Automated Functional Region Annotation of Liver via a 2.5D Class-Aware Deep Neural Network with Spatial Adaptation.” Computer Methods & Programs in Biomedicine 200 (March): N.PAG. doi:10.1016/j.cmpb.2020.105818.