An Automated Deep Learning-Based Framework for Uptake Segmentation and Classification on PSMA PET/CT Imaging of Patients with Prostate Cancer.

Uptake segmentation and classification on PSMA PET/CT are important for automating whole-body tumor burden determinations. We developed and evaluated an automated deep learning (DL)-based framework that segments and classifies uptake on PSMA PET/CT. We identified 193 [18F] DCFPyL PET/CT scans of pat...

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Bibliographic Details

Published in:	Journal of Digital Imaging Vol. 37; no. 5; pp. 2206 - 2216
Main Authors:	Li, Yang, Imami, Maliha R., Zhao, Linmei, Amindarolzarbi, Alireza, Mena, Esther, Leal, Jeffrey, Chen, Junyu, Gafita, Andrei, Voter, Andrew F., Li, Xin, Du, Yong, Zhu, Chengzhang, Choyke, Peter L., Zou, Beiji, Jiao, Zhicheng, Rowe, Steven P., Pomper, Martin G., Bai, Harrison X.
Format:	diagnostic images research tables/charts Journal Article
Published:	Springer Nature Oct2024
Online Access:	View this record in EBSCOhost