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Ability of Radiomics in Differentiation of Anaplastic Oligodendroglioma From Atypical Low-Grade Oligodendroglioma Using Machine-Learning Approach
Objectives: To investigate the ability of radiomics features from MRI in differentiating anaplastic oligodendroglioma (AO) from atypical low-grade oligodendroglioma using machine-learning algorithms. Methods: A total number of 101 qualified patients (50 participants with AO and 51 with atypical low-...
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| Udgivet i: | Front Oncol |
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| Main Authors: | , , , , , , , , , , |
| Format: | Artigo |
| Sprog: | Inglês |
| Udgivet: |
Frontiers Media S.A.
2019
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| Fag: | |
| Online adgang: | https://ncbi.nlm.nih.gov/pmc/articles/PMC6929242/ https://ncbi.nlm.nih.gov/pubmed/31921635 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.3389/fonc.2019.01371 |
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