C, K., T, O., M, N., S, K., H, F., N, K., & S, K. (2024). Identifying factors that indicate the possibility of non-visible cases on mammograms using mammary gland content ratio estimated by artificial intelligence. Frontiers in oncology, 14, 1255109. https://doi.org/10.3389/fonc.2024.1255109
Chicago Style (17th ed.) CitationC, Kai, Otsuka T, Nara M, Kondo S, Futamura H, Kodama N, and Kasai S. "Identifying Factors That Indicate the Possibility of Non-visible Cases on Mammograms Using Mammary Gland Content Ratio Estimated by Artificial Intelligence." Frontiers in Oncology 14 (2024): 1255109. https://doi.org/10.3389/fonc.2024.1255109.
MLA (9th ed.) CitationC, Kai, et al. "Identifying Factors That Indicate the Possibility of Non-visible Cases on Mammograms Using Mammary Gland Content Ratio Estimated by Artificial Intelligence." Frontiers in Oncology, vol. 14, 2024, p. 1255109, https://doi.org/10.3389/fonc.2024.1255109.