Cargando…
Deep Learning based Radiomics (DLR) and its usage in noninvasive IDH1 prediction for low grade glioma
Deep learning-based radiomics (DLR) was developed to extract deep information from multiple modalities of magnetic resonance (MR) images. The performance of DLR for predicting the mutation status of isocitrate dehydrogenase 1 (IDH1) was validated in a dataset of 151 patients with low-grade glioma. A...
| Autores principales: | , , , , |
|---|---|
| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Nature Publishing Group UK
2017
|
| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5511238/ https://www.ncbi.nlm.nih.gov/pubmed/28710497 http://dx.doi.org/10.1038/s41598-017-05848-2 |