Automated segmentation of lesions and organs at risk on [<sup>68</sup>Ga]Ga-PSMA-11 PET/CT images using self-supervised learning with Swin UNETR.
Journal Information
Full Title: Cancer Imaging
Abbreviation: Cancer Imaging
Country: Unknown
Publisher: Unknown
Language: N/A
Publication Details
Subject Category: Diagnostic Imaging
Available in Europe PMC: Yes
Available in PMC: Yes
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"our code is available at: https://github com/elmirayazdani/lesions-oars-segmentation-psma-petct-ssl-swinunetr .; the code to reproduce the experiments is available at the following url: https://github com/elmirayazdani/lesions-oars-segmentation-psma-petct-ssl-swinunetr ."
"Declaration Ethics approval and consent to participateWe retrospectively collected the patient data for this research. The Ethics Committee of IUMS waived this in the ethics approval IR.IUMS.FMD.REC.1401.505. Consent for publicationInformed consent was waived by the ethics committee (IR.IUMS.FMD.REC.1401.505). Competing interestsThe author declares that there are no conflicts of interest. Competing interests The author declares that there are no conflicts of interest."
"Funding This work is based upon research funded by Iran National Science Foundation (INSF) under project No. 4020727."
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Last Updated: Aug 05, 2025