Journal of Nuclear Medicine
Fully Automated Segmentation of [ 18 F]FDG and [ 68 Ga]/[ 18 F]PSMA PET/CT Images via Data-Centric Deep Learning
Par Manuel Pires, Sebastian Gutschmayer, Enrica Bergalla et 22 autres.
Contenu en anglais
Résumé
The purpose of this study was to develop and validate lesion identification in oncologic nuclear imaging (LION), an open-source PET-only tumor segmentation pipeline for [18F]FDG and prostate-specific membrane antigen (PSMA)–targeted PET/CT, and to investigate how training data characteristics influence segmentation performance.



