Machine Learning CT-Based Automatic Nodal Segmentation and PET Semi-Quantification of Intraoperative <sup>68</sup>Ga-PSMA-11 PET/CT Images in High-Risk Prostate Cancer: A Pilot Study

Machine Learning CT-Based Automatic Nodal Segmentation and PET Semi-Quantification of Intraoperative <sup>68</sup>Ga-PSMA-11 PET/CT Images in High-Risk Prostate Cancer: A Pilot Study

High-resolution intraoperative PET/CT specimen imaging, coupled with prostate-specific membrane antigen (PSMA) molecular targeting, holds great potential for the rapid ex vivo identification of disease localizations in high-risk prostate cancer patients undergoing surgery. However, the accurate anal...

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Bibliographic Details
Main Authors: Guido Rovera, Serena Grimaldi, Marco Oderda, Monica Finessi, Valentina Giannini, Roberto Passera, Paolo Gontero, Désirée Deandreis
Format: Article
Language:English
Published: MDPI AG 2023-09-01
Series:Diagnostics
Subjects:
PET/CT
PET/CT specimen images
<sup>68</sup>Ga-PSMA-11
prostate cancer
automatic segmentation
machine learning
Online Access:https://www.mdpi.com/2075-4418/13/18/3013

Internet

https://www.mdpi.com/2075-4418/13/18/3013

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