Iwabuchi, Y., Nakahara, T., Kameyama, M., Yamada, Y., Hashimoto, M., Matsusaka, Y., . . . Jinzaki, M. (2019). Impact of a combination of quantitative indices representing uptake intensity, shape, and asymmetry in DAT SPECT using machine learning: Comparison of different volume of interest settings. EJNMMI Res.
Chicago Style citaatIwabuchi, Yu, et al. "Impact of a Combination of Quantitative Indices Representing Uptake Intensity, Shape, and Asymmetry in DAT SPECT Using Machine Learning: Comparison of Different Volume of Interest Settings." EJNMMI Res 2019.
MLA citatieIwabuchi, Yu, et al. "Impact of a Combination of Quantitative Indices Representing Uptake Intensity, Shape, and Asymmetry in DAT SPECT Using Machine Learning: Comparison of Different Volume of Interest Settings." EJNMMI Res 2019.