Fully Automated, Semantic Segmentation of Whole-Body 18 F-FDG PET/CT Images Based on Data-Centric Artificial Intelligence.

MLA

Shiyam Sundar, Lalith Kumar, et al. “Fully Automated, Semantic Segmentation of Whole-Body 18 F-FDG PET/CT Images Based on Data-Centric Artificial Intelligence.” Journal of Nuclear Medicine : Official Publication, Society of Nuclear Medicine, vol. 63, no. 12, Dec. 2022, pp. 1941–48. EBSCOhost, https://doi.org/10.2967/jnumed.122.264063.

APA

Shiyam Sundar, L. K., Yu, J., Muzik, O., Kulterer, O. C., Fueger, B., Kifjak, D., Nakuz, T., Shin, H. M., Sima, A. K., Kitzmantl, D., Badawi, R. D., Nardo, L., Cherry, S. R., Spencer, B. A., Hacker, M., & Beyer, T. (2022). Fully Automated, Semantic Segmentation of Whole-Body 18 F-FDG PET/CT Images Based on Data-Centric Artificial Intelligence. Journal of Nuclear Medicine : Official Publication, Society of Nuclear Medicine, 63(12), 1941–1948. https://doi.org/10.2967/jnumed.122.264063

Chicago

Shiyam Sundar, Lalith Kumar, Josef Yu, Otto Muzik, Oana C Kulterer, Barbara Fueger, Daria Kifjak, Thomas Nakuz, et al. 2022. “Fully Automated, Semantic Segmentation of Whole-Body 18 F-FDG PET/CT Images Based on Data-Centric Artificial Intelligence.” Journal of Nuclear Medicine : Official Publication, Society of Nuclear Medicine 63 (12): 1941–48. doi:10.2967/jnumed.122.264063.