Dong, H.-C.; Dong, H.-K.; Yu, M.-H.; Lin, Y.-H.; Chang, C.-C.
Using Deep Learning with Convolutional Neural Network Approach to Identify the Invasion Depth of Endometrial Cancer in Myometrium Using MR Images: A Pilot Study. Int. J. Environ. Res. Public Health 2020, 17, 5993.
https://doi.org/10.3390/ijerph17165993
AMA Style
Dong H-C, Dong H-K, Yu M-H, Lin Y-H, Chang C-C.
Using Deep Learning with Convolutional Neural Network Approach to Identify the Invasion Depth of Endometrial Cancer in Myometrium Using MR Images: A Pilot Study. International Journal of Environmental Research and Public Health. 2020; 17(16):5993.
https://doi.org/10.3390/ijerph17165993
Chicago/Turabian Style
Dong, Hsiang-Chun, Hsiang-Kai Dong, Mu-Hsien Yu, Yi-Hsin Lin, and Cheng-Chang Chang.
2020. "Using Deep Learning with Convolutional Neural Network Approach to Identify the Invasion Depth of Endometrial Cancer in Myometrium Using MR Images: A Pilot Study" International Journal of Environmental Research and Public Health 17, no. 16: 5993.
https://doi.org/10.3390/ijerph17165993
APA Style
Dong, H. -C., Dong, H. -K., Yu, M. -H., Lin, Y. -H., & Chang, C. -C.
(2020). Using Deep Learning with Convolutional Neural Network Approach to Identify the Invasion Depth of Endometrial Cancer in Myometrium Using MR Images: A Pilot Study. International Journal of Environmental Research and Public Health, 17(16), 5993.
https://doi.org/10.3390/ijerph17165993