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Machine Learning Models for Multiparametric Glioma Grading With Quantitative Result Interpretations
Gliomas are the most common primary malignant brain tumors in adults. Accurate grading is crucial as therapeutic strategies are often disparate for different grades and may influence patient prognosis. This study aims to provide an automated glioma grading platform on the basis of machine learning m...
| Autores principales: | , , , , , , , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Frontiers Media S.A.
2019
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6337068/ https://www.ncbi.nlm.nih.gov/pubmed/30686996 http://dx.doi.org/10.3389/fnins.2018.01046 |