Yoo, S.K.; Kim, H.; Choi, B.S.; Park, I.; Kim, J.S.
Generation and Evaluation of Synthetic Computed Tomography (CT) from Cone-Beam CT (CBCT) by Incorporating Feature-Driven Loss into Intensity-Based Loss Functions in Deep Convolutional Neural Network. Cancers 2022, 14, 4534.
https://doi.org/10.3390/cancers14184534
AMA Style
Yoo SK, Kim H, Choi BS, Park I, Kim JS.
Generation and Evaluation of Synthetic Computed Tomography (CT) from Cone-Beam CT (CBCT) by Incorporating Feature-Driven Loss into Intensity-Based Loss Functions in Deep Convolutional Neural Network. Cancers. 2022; 14(18):4534.
https://doi.org/10.3390/cancers14184534
Chicago/Turabian Style
Yoo, Sang Kyun, Hojin Kim, Byoung Su Choi, Inkyung Park, and Jin Sung Kim.
2022. "Generation and Evaluation of Synthetic Computed Tomography (CT) from Cone-Beam CT (CBCT) by Incorporating Feature-Driven Loss into Intensity-Based Loss Functions in Deep Convolutional Neural Network" Cancers 14, no. 18: 4534.
https://doi.org/10.3390/cancers14184534
APA Style
Yoo, S. K., Kim, H., Choi, B. S., Park, I., & Kim, J. S.
(2022). Generation and Evaluation of Synthetic Computed Tomography (CT) from Cone-Beam CT (CBCT) by Incorporating Feature-Driven Loss into Intensity-Based Loss Functions in Deep Convolutional Neural Network. Cancers, 14(18), 4534.
https://doi.org/10.3390/cancers14184534