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Machine Learning methods for Quantitative Radiomic Biomarkers

Radiomics extracts and mines large number of medical imaging features quantifying tumor phenotypic characteristics. Highly accurate and reliable machine-learning approaches can drive the success of radiomic applications in clinical care. In this radiomic study, fourteen feature selection methods and...

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Bibliografische gegevens
Gepubliceerd in:Sci Rep
Hoofdauteurs: Parmar, Chintan, Grossmann, Patrick, Bussink, Johan, Lambin, Philippe, Aerts, Hugo J. W. L.
Formaat: Artigo
Taal:Inglês
Gepubliceerd in: Nature Publishing Group 2015
Onderwerpen:
Online toegang:https://ncbi.nlm.nih.gov/pmc/articles/PMC4538374/
https://ncbi.nlm.nih.gov/pubmed/26278466
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1038/srep13087
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