Machine Learning and Texture Analysis of [<sup>18</sup>F]FDG PET/CT Images for the Prediction of Distant Metastases in Non-Small-Cell Lung Cancer Patients

Machine Learning and Texture Analysis of [<sup>18</sup>F]FDG PET/CT Images for the Prediction of Distant Metastases in Non-Small-Cell Lung Cancer Patients

The aim of our study was to predict the occurrence of distant metastases in non-small-cell lung cancer (NSCLC) patients using machine learning methods and texture analysis of <sup>18</sup>F-labeled 2-deoxy-d-glucose Positron Emission Tomography/Computed Tomography {[<sup>18</sup...

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Bibliographic Details
Main Authors: Armin Hakkak Moghadam Torbati, Sara Pellegrino, Rosa Fonti, Rocco Morra, Sabino De Placido, Silvana Del Vecchio
Format: Article
Language:English
Published: MDPI AG 2024-02-01
Series:Biomedicines
Subjects:
machine learning
texture features
[<sup>18</sup>F]FDG PET/CT
non-small-cell lung cancer
metastases
Online Access:https://www.mdpi.com/2227-9059/12/3/472

Internet

https://www.mdpi.com/2227-9059/12/3/472

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