Yeom, J.-A.; Kim, K.-U.; Hwang, M.; Lee, J.-W.; Kim, K.-I.; Song, Y.-S.; Lee, I.-S.; Jeong, Y.-J.
Emphysema Quantification Using Ultra-Low-Dose Chest CT: Efficacy of Deep Learning-Based Image Reconstruction. Medicina 2022, 58, 939.
https://doi.org/10.3390/medicina58070939
AMA Style
Yeom J-A, Kim K-U, Hwang M, Lee J-W, Kim K-I, Song Y-S, Lee I-S, Jeong Y-J.
Emphysema Quantification Using Ultra-Low-Dose Chest CT: Efficacy of Deep Learning-Based Image Reconstruction. Medicina. 2022; 58(7):939.
https://doi.org/10.3390/medicina58070939
Chicago/Turabian Style
Yeom, Jeong-A, Ki-Uk Kim, Minhee Hwang, Ji-Won Lee, Kun-Il Kim, You-Seon Song, In-Sook Lee, and Yeon-Joo Jeong.
2022. "Emphysema Quantification Using Ultra-Low-Dose Chest CT: Efficacy of Deep Learning-Based Image Reconstruction" Medicina 58, no. 7: 939.
https://doi.org/10.3390/medicina58070939
APA Style
Yeom, J.-A., Kim, K.-U., Hwang, M., Lee, J.-W., Kim, K.-I., Song, Y.-S., Lee, I.-S., & Jeong, Y.-J.
(2022). Emphysema Quantification Using Ultra-Low-Dose Chest CT: Efficacy of Deep Learning-Based Image Reconstruction. Medicina, 58(7), 939.
https://doi.org/10.3390/medicina58070939