Song, S.-Y.; Seo, M.-S.; Kim, C.-W.; Kim, Y.-H.; Yoo, B.-C.; Choi, H.-J.; Seo, S.-H.; Kang, S.-W.; Song, M.-G.; Nam, D.-C.;
et al. AI-Driven Segmentation and Automated Analysis of the Whole Sagittal Spine from X-ray Images for Spinopelvic Parameter Evaluation. Bioengineering 2023, 10, 1229.
https://doi.org/10.3390/bioengineering10101229
AMA Style
Song S-Y, Seo M-S, Kim C-W, Kim Y-H, Yoo B-C, Choi H-J, Seo S-H, Kang S-W, Song M-G, Nam D-C,
et al. AI-Driven Segmentation and Automated Analysis of the Whole Sagittal Spine from X-ray Images for Spinopelvic Parameter Evaluation. Bioengineering. 2023; 10(10):1229.
https://doi.org/10.3390/bioengineering10101229
Chicago/Turabian Style
Song, Sang-Youn, Min-Seok Seo, Chang-Won Kim, Yun-Heung Kim, Byeong-Cheol Yoo, Hyun-Ju Choi, Sung-Hyo Seo, Sung-Wook Kang, Myung-Geun Song, Dae-Cheol Nam,
and et al. 2023. "AI-Driven Segmentation and Automated Analysis of the Whole Sagittal Spine from X-ray Images for Spinopelvic Parameter Evaluation" Bioengineering 10, no. 10: 1229.
https://doi.org/10.3390/bioengineering10101229
APA Style
Song, S.-Y., Seo, M.-S., Kim, C.-W., Kim, Y.-H., Yoo, B.-C., Choi, H.-J., Seo, S.-H., Kang, S.-W., Song, M.-G., Nam, D.-C., & Kim, D.-H.
(2023). AI-Driven Segmentation and Automated Analysis of the Whole Sagittal Spine from X-ray Images for Spinopelvic Parameter Evaluation. Bioengineering, 10(10), 1229.
https://doi.org/10.3390/bioengineering10101229