Chargement en cours...
Radiomics MRI Phenotyping with Machine Learning to Predict the Grade of Lower-Grade Gliomas: A Study Focused on Nonenhancing Tumors
OBJECTIVE: To assess whether radiomics features derived from multiparametric MRI can predict the tumor grade of lower-grade gliomas (LGGs; World Health Organization grade II and grade III) and the nonenhancing LGG subgroup. MATERIALS AND METHODS: Two-hundred four patients with LGGs from our institut...
Enregistré dans:
| Publié dans: | Korean J Radiol |
|---|---|
| Auteurs principaux: | , , , , , |
| Format: | Artigo |
| Langue: | Inglês |
| Publié: |
The Korean Society of Radiology
2019
|
| Sujets: | |
| Accès en ligne: | https://ncbi.nlm.nih.gov/pmc/articles/PMC6715562/ https://ncbi.nlm.nih.gov/pubmed/31464116 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.3348/kjr.2018.0814 |
| Tags: |
Ajouter un tag
Pas de tags, Soyez le premier à ajouter un tag!
|