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Machine Learning Decision Tree Models for Differentiation of Posterior Fossa Tumors Using Diffusion Histogram Analysis and Structural MRI Findings
We applied machine learning algorithms for differentiation of posterior fossa tumors using apparent diffusion coefficient (ADC) histogram analysis and structural MRI findings. A total of 256 patients with intra-axial posterior fossa tumors were identified, of whom 248 were included in machine learni...
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| Udgivet i: | Front Oncol |
|---|---|
| Main Authors: | , , , |
| Format: | Artigo |
| Sprog: | Inglês |
| Udgivet: |
Frontiers Media S.A.
2020
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| Fag: | |
| Online adgang: | https://ncbi.nlm.nih.gov/pmc/articles/PMC7018938/ https://ncbi.nlm.nih.gov/pubmed/32117728 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.3389/fonc.2020.00071 |
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