Comparison and Fusion of Machine Learning Algorithms for Prospective Validation of PET/CT Radiomic Features Prognostic Value in Stage II-III Non-Small Cell Lung Cancer

Comparison and Fusion of Machine Learning Algorithms for Prospective Validation of PET/CT Radiomic Features Prognostic Value in Stage II-III Non-Small Cell Lung Cancer

Machine learning (ML) algorithms for selecting and combining radiomic features into multiparametric prediction models have become popular; however, it has been shown that large variations in performance can be obtained by relying on different approaches. The purpose of this study was to evaluate the...

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Bibliographic Details
Main Authors: Shima Sepehri, Olena Tankyevych, Taman Upadhaya, Dimitris Visvikis, Mathieu Hatt, Catherine Cheze Le Rest
Format: Article
Language:English
Published: MDPI AG 2021-04-01
Series:Diagnostics
Subjects:
machine learning
prospective study
non-small cell lung cancer
prognosis
radiomics
Online Access:https://www.mdpi.com/2075-4418/11/4/675

Internet

https://www.mdpi.com/2075-4418/11/4/675

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