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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Detalles Bibliográficos
Autores principales: Tatekawa, Hiroyuki, Hagiwara, Akifumi, Uetani, Hiroyuki, Bahri, Shadfar, Raymond, Catalina, Lai, Albert, Cloughesy, Timothy F., Nghiemphu, Phioanh L., Liau, Linda M., Pope, Whitney B., Salamon, Noriko, Ellingson, Benjamin M.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2021
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7944911/
https://www.ncbi.nlm.nih.gov/pubmed/33691798
http://dx.doi.org/10.1186/s40644-021-00396-5

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7944911/
https://www.ncbi.nlm.nih.gov/pubmed/33691798
http://dx.doi.org/10.1186/s40644-021-00396-5

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