Application of a Machine Learning Approach for the Analysis of Clinical and Radiomic Features of Pretreatment [18F]-FDG PET/CT to Predict Prognosis of Patients with Endometrial Cancer.

Detalles Bibliográficos
Publicado en:Molecular Imaging & Biology Vol. 23; no. 5; pp. 756 - 766
Autores principales: Nakajo, Masatoyo, Jinguji, Megumi, Tani, Atsushi, Kikuno, Hidehiko, Hirahara, Daisuke, Togami, Shinichi, Kobayashi, Hiroaki, Yoshiura, Takashi
Formato: Journal Article
Publicado: Springer Nature Oct2021
Acceso en línea:Ver este registro en EBSCOhost