Leveraging machine learning with dynamic 18F-FDG PET/CT: integrating metabolic and flow features for lung cancer differential diagnosis.

Background: Dynamic 18F-fluorodeoxyglucose (18F-FDG) PET/CT imaging has been shown to provide additional information for diagnosing lung cancer. The aim of this study was to investigate whether metabolic and flow features directly extracted from time activity curves (TACs) help differentiate between...

Descripción completa

Detalles Bibliográficos

Publicado en:	European Journal of Nuclear Medicine & Molecular Imaging Vol. 52; no. 10; pp. 3807 - 3820
Autores principales:	Yao, Zhiheng, Wang, Yubo, Wu, Yaping, Zhou, Jinpeng, Dang, Na, Wang, Meiyun, Liang, Ying, Sun, Tao
Formato:	Journal Article
Publicado:	Springer Nature Aug2025
Acceso en línea:	Ver este registro en EBSCOhost