Predicting T-Cell Lymphoma in Children From 18F-FDG PET-CT Imaging With Multiple Machine Learning Models.

This study aimed to examine the feasibility of utilizing radiomics models derived from 18F-FDG PET/CT imaging to screen for T-cell lymphoma in children with lymphoma. All patients had undergone 18F-FDG PET/CT scans. Lesions were extracted from PET/CT and randomly divided into training and validation...

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Publicado en:	Journal of Digital Imaging Vol. 37; no. 3; pp. 952 - 965
Autores principales:	Yang, Taiyu, Liu, Danyan, Zhang, Zexu, Sa, Ri, Guan, Feng
Formato:	diagnostic images research tables/charts Journal Article
Publicado:	Springer Nature Jun2024
Acceso en línea:	Ver este registro en EBSCOhost