Choi, Y.; Aum, J.; Lee, S.-H.; Kim, H.-K.; Kim, J.; Shin, S.; Jeong, J.Y.; Ock, C.-Y.; Lee, H.Y.
Deep Learning Analysis of CT Images Reveals High-Grade Pathological Features to Predict Survival in Lung Adenocarcinoma. Cancers 2021, 13, 4077.
https://doi.org/10.3390/cancers13164077
AMA Style
Choi Y, Aum J, Lee S-H, Kim H-K, Kim J, Shin S, Jeong JY, Ock C-Y, Lee HY.
Deep Learning Analysis of CT Images Reveals High-Grade Pathological Features to Predict Survival in Lung Adenocarcinoma. Cancers. 2021; 13(16):4077.
https://doi.org/10.3390/cancers13164077
Chicago/Turabian Style
Choi, Yeonu, Jaehong Aum, Se-Hoon Lee, Hong-Kwan Kim, Jhingook Kim, Seunghwan Shin, Ji Yun Jeong, Chan-Young Ock, and Ho Yun Lee.
2021. "Deep Learning Analysis of CT Images Reveals High-Grade Pathological Features to Predict Survival in Lung Adenocarcinoma" Cancers 13, no. 16: 4077.
https://doi.org/10.3390/cancers13164077
APA Style
Choi, Y., Aum, J., Lee, S.-H., Kim, H.-K., Kim, J., Shin, S., Jeong, J. Y., Ock, C.-Y., & Lee, H. Y.
(2021). Deep Learning Analysis of CT Images Reveals High-Grade Pathological Features to Predict Survival in Lung Adenocarcinoma. Cancers, 13(16), 4077.
https://doi.org/10.3390/cancers13164077