FDG-PET,

Masatoyo Nakajo1, Daisuke Hirahara2, Megumi Jinguji3

  • 1Department of Radiology, Graduate School of Medical and Dental Sciences, Kagoshima University, 8-35-1 Sakuragaoka, Kagoshima, 890-8544, Japan. toyo.nakajo@dolphin.ocn.ne.jp.

PubMed
概括

使用2-deoxy-2-[18F]fluoro-D-glucose (FDG) -PET放射性特征的机器学习模型有效地区分良性和恶性腺疾病. 一个深度学习组合模型实现了高精度,有助于PGD管理.