APA (7th ed.) Citation

WC, H., YL, L., TT, C., WL, C., LT, T., CK, C., . . . CH, W. (2024). Establish and validate the reliability of predictive models in bone mineral density by deep learning as examination tool for women. Osteoporosis international : a journal established as result of cooperation between the European Foundation for Osteoporosis and the National Osteoporosis Foundation of the USA, 35(1), 129. https://doi.org/10.1007/s00198-023-06913-5

Chicago Style (17th ed.) Citation

WC, Hung, Lin YL, Cheng TT, Chin WL, Tu LT, Chen CK, Yang CH, and Wu CH. "Establish and Validate the Reliability of Predictive Models in Bone Mineral Density by Deep Learning as Examination Tool for Women." Osteoporosis International : A Journal Established as Result of Cooperation Between the European Foundation for Osteoporosis and the National Osteoporosis Foundation of the USA 35, no. 1 (2024): 129. https://doi.org/10.1007/s00198-023-06913-5.

MLA (9th ed.) Citation

WC, Hung, et al. "Establish and Validate the Reliability of Predictive Models in Bone Mineral Density by Deep Learning as Examination Tool for Women." Osteoporosis International : A Journal Established as Result of Cooperation Between the European Foundation for Osteoporosis and the National Osteoporosis Foundation of the USA, vol. 35, no. 1, 2024, p. 129, https://doi.org/10.1007/s00198-023-06913-5.