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

Yu Iwabuchi, Tadaki Nakahara, Masashi Kameyama, Yoshitake Yamada, Masahiro Hashimoto, Yohji Matsusaka, Takashi Osada, Daisuke Ito, Hajime Tabuchi, Masahiro Jinzaki

研究成果: Article査読

6 被引用数 (Scopus)

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「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」の研究トピックを掘り下げます。これらがまとまってユニークなフィンガープリントを構成します。

Medicine & Life Sciences