Yoo, J.; Lee, J.; Cheon, M.; Woo, S.-K.; Ahn, M.-J.; Pyo, H.R.; Choi, Y.S.; Han, J.H.; Choi, J.Y.
Predictive Value of 18F-FDG PET/CT Using Machine Learning for Pathological Response to Neoadjuvant Concurrent Chemoradiotherapy in Patients with Stage III Non-Small Cell Lung Cancer. Cancers 2022, 14, 1987.
https://doi.org/10.3390/cancers14081987
AMA Style
Yoo J, Lee J, Cheon M, Woo S-K, Ahn M-J, Pyo HR, Choi YS, Han JH, Choi JY.
Predictive Value of 18F-FDG PET/CT Using Machine Learning for Pathological Response to Neoadjuvant Concurrent Chemoradiotherapy in Patients with Stage III Non-Small Cell Lung Cancer. Cancers. 2022; 14(8):1987.
https://doi.org/10.3390/cancers14081987
Chicago/Turabian Style
Yoo, Jang, Jaeho Lee, Miju Cheon, Sang-Keun Woo, Myung-Ju Ahn, Hong Ryull Pyo, Yong Soo Choi, Joung Ho Han, and Joon Young Choi.
2022. "Predictive Value of 18F-FDG PET/CT Using Machine Learning for Pathological Response to Neoadjuvant Concurrent Chemoradiotherapy in Patients with Stage III Non-Small Cell Lung Cancer" Cancers 14, no. 8: 1987.
https://doi.org/10.3390/cancers14081987
APA Style
Yoo, J., Lee, J., Cheon, M., Woo, S.-K., Ahn, M.-J., Pyo, H. R., Choi, Y. S., Han, J. H., & Choi, J. Y.
(2022). Predictive Value of 18F-FDG PET/CT Using Machine Learning for Pathological Response to Neoadjuvant Concurrent Chemoradiotherapy in Patients with Stage III Non-Small Cell Lung Cancer. Cancers, 14(8), 1987.
https://doi.org/10.3390/cancers14081987