A Critical Analysis of the Robustness of Radiomics to Variations in Segmentation Methods in <sup>18</sup>F-PSMA-1007 PET Images of Patients Affected by Prostate Cancer

A Critical Analysis of the Robustness of Radiomics to Variations in Segmentation Methods in <sup>18</sup>F-PSMA-1007 PET Images of Patients Affected by Prostate Cancer

Background: Radiomics shows promising results in supporting the clinical decision process, and much effort has been put into its standardization, thus leading to the Imaging Biomarker Standardization Initiative (IBSI), that established how radiomics features should be computed. However, radiomics st...

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Bibliographic Details
Main Authors: Giovanni Pasini, Giorgio Russo, Cristina Mantarro, Fabiano Bini, Selene Richiusa, Lucrezia Morgante, Albert Comelli, Giorgio Ivan Russo, Maria Gabriella Sabini, Sebastiano Cosentino, Franco Marinozzi, Massimo Ippolito, Alessandro Stefano
Format: Article
Language:English
Published: MDPI AG 2023-12-01
Series:Diagnostics
Subjects:
radiomics
prostate
machine learning
<sup>18</sup>F-PSMA-1007 PET
segmentation
robustness
Online Access:https://www.mdpi.com/2075-4418/13/24/3640

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https://www.mdpi.com/2075-4418/13/24/3640

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