Wu, Y.; Cheng, M.; Huang, S.; Pei, Z.; Zuo, Y.; Liu, J.; Yang, K.; Zhu, Q.; Zhang, J.; Hong, H.;
et al. Recent Advances of Deep Learning for Computational Histopathology: Principles and Applications. Cancers 2022, 14, 1199.
https://doi.org/10.3390/cancers14051199
AMA Style
Wu Y, Cheng M, Huang S, Pei Z, Zuo Y, Liu J, Yang K, Zhu Q, Zhang J, Hong H,
et al. Recent Advances of Deep Learning for Computational Histopathology: Principles and Applications. Cancers. 2022; 14(5):1199.
https://doi.org/10.3390/cancers14051199
Chicago/Turabian Style
Wu, Yawen, Michael Cheng, Shuo Huang, Zongxiang Pei, Yingli Zuo, Jianxin Liu, Kai Yang, Qi Zhu, Jie Zhang, Honghai Hong,
and et al. 2022. "Recent Advances of Deep Learning for Computational Histopathology: Principles and Applications" Cancers 14, no. 5: 1199.
https://doi.org/10.3390/cancers14051199
APA Style
Wu, Y., Cheng, M., Huang, S., Pei, Z., Zuo, Y., Liu, J., Yang, K., Zhu, Q., Zhang, J., Hong, H., Zhang, D., Huang, K., Cheng, L., & Shao, W.
(2022). Recent Advances of Deep Learning for Computational Histopathology: Principles and Applications. Cancers, 14(5), 1199.
https://doi.org/10.3390/cancers14051199
