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Differentiating IDH status in human gliomas using machine learning and multiparametric MR/PET
BACKGROUND: The purpose of this study was to develop a voxel-wise clustering method of multiparametric magnetic resonance imaging (MRI) and 3,4-dihydroxy-6-[(18)F]-fluoro-L-phenylalanine (FDOPA) positron emission tomography (PET) images using an unsupervised, two-level clustering approach followed b...
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| Publicado no: | Cancer Imaging |
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| Main Authors: | , , , , , , , , , , , |
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
BioMed Central
2021
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| Assuntos: | |
| Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC7944911/ https://ncbi.nlm.nih.gov/pubmed/33691798 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1186/s40644-021-00396-5 |
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