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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...
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| Publicado no: | Sci Rep |
|---|---|
| Main Authors: | , , , , |
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
Nature Publishing Group UK
2017
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| Assuntos: | |
| Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC5511238/ https://ncbi.nlm.nih.gov/pubmed/28710497 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1038/s41598-017-05848-2 |
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