APA (7th ed.) Citation

Li, X., Tang, M., Guo, F., Li, Y., Cao, K., Song, Q., . . . Zhou, J. (2022). DDNet: 3D densely connected convolutional networks with feature pyramids for nasopharyngeal carcinoma segmentation. IET image processing, 16(1), 39-48. https://doi.org/10.1049/ipr2.12248

Chicago Style (17th ed.) Citation

Li, Xiaojie, Mingxuan Tang, Feng Guo, Yuanxi Li, Kunling Cao, Qi Song, Xi Wu, Shanhui Sun, and Jiliu Zhou. "DDNet: 3D Densely Connected Convolutional Networks with Feature Pyramids for Nasopharyngeal Carcinoma Segmentation." IET Image Processing 16, no. 1 (2022): 39-48. https://doi.org/10.1049/ipr2.12248.

MLA (9th ed.) Citation

Li, Xiaojie, et al. "DDNet: 3D Densely Connected Convolutional Networks with Feature Pyramids for Nasopharyngeal Carcinoma Segmentation." IET Image Processing, vol. 16, no. 1, 2022, pp. 39-48, https://doi.org/10.1049/ipr2.12248.