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

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Title: An Automated Deep Learning-Based Framework for Uptake Segmentation and Classification on PSMA PET/CT Imaging of Patients with Prostate Cancer.
Authors: Li, Yang1,2, Imami, Maliha R.1, Zhao, Linmei1, Amindarolzarbi, Alireza1, Mena, Esther3, Leal, Jeffrey1, Chen, Junyu1, Gafita, Andrei1, Voter, Andrew F.1, Li, Xin1, Du, Yong1, Zhu, Chengzhang4, Choyke, Peter L.3, Zou, Beiji2,4, Jiao, Zhicheng5, Rowe, Steven P.1, Pomper, Martin G.1, Bai, Harrison X.1, hbai7@jh.edu
Source: Journal of Digital Imaging; Oct2024, Vol. 37 Issue 5, p2206-2215, 10p
Database: Applied Science & Technology Source
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  Data: <searchLink fieldCode="JN" term="%22Journal+of+Digital+Imaging%22">Journal of Digital Imaging</searchLink>; Oct2024, Vol. 37 Issue 5, p2206-2215, 10p
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=aci&AN=181515408
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        Value: 10.1007/s10278-024-01104-y
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              Text: Oct2024
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