Fully automatic prognostic biomarker extraction from metastatic prostate lesion segmentations in whole-body [68Ga]Ga-PSMA-11 PET/CT images.

Purpose: This study aimed to develop and assess an automated segmentation framework based on deep learning for metastatic prostate cancer (mPCa) lesions in whole-body [68Ga]Ga-PSMA-11 PET/CT images for the purpose of extracting patient-level prognostic biomarkers. Methods: Three hundred thirty-seven...

Full description

Bibliographic Details

Published in:	European Journal of Nuclear Medicine & Molecular Imaging Vol. 50; no. 1; pp. 67 - 80
Main Authors:	Kendrick, Jake, Francis, Roslyn J., Hassan, Ghulam Mubashar, Rowshanfarzad, Pejman, Ong, Jeremy S. L., Ebert, Martin A.
Format:	Journal Article
Published:	Springer Nature Dec2022
Online Access:	View this record in EBSCOhost