G, L., C, Y., W, C., P, H., F, H., & J, H. (2026). Measurement and classification of dielectric properties in human brain tissues: Differentiating glioma from normal tissues using machine learning. Physical and engineering sciences in medicine, 49(1), 251. https://doi.org/10.1007/s13246-025-01663-6
Chicago Style (17th ed.) CitationG, Li, Ye C, Chen W, Hao P, He F, and Han J. "Measurement and Classification of Dielectric Properties in Human Brain Tissues: Differentiating Glioma from Normal Tissues Using Machine Learning." Physical and Engineering Sciences in Medicine 49, no. 1 (2026): 251. https://doi.org/10.1007/s13246-025-01663-6.
MLA (9th ed.) CitationG, Li, et al. "Measurement and Classification of Dielectric Properties in Human Brain Tissues: Differentiating Glioma from Normal Tissues Using Machine Learning." Physical and Engineering Sciences in Medicine, vol. 49, no. 1, 2026, p. 251, https://doi.org/10.1007/s13246-025-01663-6.