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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Publicado en:	Journal of Digital Imaging Vol. 37; no. 5; pp. 2206 - 2216
Autores principales:	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.
Formato:	diagnostic images research tables/charts Journal Article
Publicado:	Springer Nature Oct2024
Acceso en línea:	Ver este registro en EBSCOhost