Park, J. Y., Lee, S. H., Kim, Y. J., Kim, K. G., & Lee, G. J. (2024). Machine learning model based on radiomics features for AO/OTA classification of pelvic fractures on pelvic radiographs. PloS one, 19(5), e0304350. https://doi.org/10.1371/journal.pone.0304350
Chicago Style (17th ed.) CitationPark, Jun Young, Seung Hwan Lee, Young Jae Kim, Kwang Gi Kim, and Gil Jae Lee. "Machine Learning Model Based on Radiomics Features for AO/OTA Classification of Pelvic Fractures on Pelvic Radiographs." PloS One 19, no. 5 (2024): e0304350. https://doi.org/10.1371/journal.pone.0304350.
MLA (9th ed.) CitationPark, Jun Young, et al. "Machine Learning Model Based on Radiomics Features for AO/OTA Classification of Pelvic Fractures on Pelvic Radiographs." PloS One, vol. 19, no. 5, 2024, p. e0304350, https://doi.org/10.1371/journal.pone.0304350.