Shao, J.; Zhu, J.; Jin, K.; Guan, X.; Jian, T.; Xue, Y.; Wang, C.; Xu, X.; Sun, F.; Si, K.;
et al. End-to-End Deep-Learning-Based Diagnosis of Benign and Malignant Orbital Tumors on Computed Tomography Images. J. Pers. Med. 2023, 13, 204.
https://doi.org/10.3390/jpm13020204
AMA Style
Shao J, Zhu J, Jin K, Guan X, Jian T, Xue Y, Wang C, Xu X, Sun F, Si K,
et al. End-to-End Deep-Learning-Based Diagnosis of Benign and Malignant Orbital Tumors on Computed Tomography Images. Journal of Personalized Medicine. 2023; 13(2):204.
https://doi.org/10.3390/jpm13020204
Chicago/Turabian Style
Shao, Ji, Jiazhu Zhu, Kai Jin, Xiaojun Guan, Tianming Jian, Ying Xue, Changjun Wang, Xiaojun Xu, Fengyuan Sun, Ke Si,
and et al. 2023. "End-to-End Deep-Learning-Based Diagnosis of Benign and Malignant Orbital Tumors on Computed Tomography Images" Journal of Personalized Medicine 13, no. 2: 204.
https://doi.org/10.3390/jpm13020204
APA Style
Shao, J., Zhu, J., Jin, K., Guan, X., Jian, T., Xue, Y., Wang, C., Xu, X., Sun, F., Si, K., Gong, W., & Ye, J.
(2023). End-to-End Deep-Learning-Based Diagnosis of Benign and Malignant Orbital Tumors on Computed Tomography Images. Journal of Personalized Medicine, 13(2), 204.
https://doi.org/10.3390/jpm13020204