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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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Bibliografski detalji
Izdano u:Diagnostics (Basel)
Glavni autori: Sepehri, Shima, Tankyevych, Olena, Upadhaya, Taman, Visvikis, Dimitris, Hatt, Mathieu, Cheze Le Rest, Catherine
Format: Artigo
Jezik:Inglês
Izdano: MDPI 2021
Teme:
Online pristup:https://ncbi.nlm.nih.gov/pmc/articles/PMC8069690/
https://ncbi.nlm.nih.gov/pubmed/33918681
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.3390/diagnostics11040675
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