The differentiation of low- and high-grade gliomas using radiomics and machine learning on [18F]FET PET and T1ce MRI
| Autor: | Donche, Sam |
|---|---|
| Jazyk: | angličtina |
| Rok vydání: | 2019 |
| Předmět: | |
| DOI: | 10.26044/ecr2019/c-3556 |
| Popis: | Aims and objectives Methods and materials Results Conclusion Personal information References Aims and objectives: Gliomas are the most frequent malignant primary brain tumours in adults and can be classified into low-grade glioma (LGG) and high-grade glioma (HGG). Due to the importance of an accurate and early diagnosis, for which histopathology is the gold... |
| Databáze: | OpenAIRE |
| Externí odkaz: |
|