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Deep Radiogenomics of Lower-Grade Gliomas: Convolutional Neural Networks Predict Tumor Genomic Subtypes Using MR Images
PURPOSE: To employ deep learning to predict genomic subtypes of lower-grade glioma (LLG) tumors based on their appearance at MRI. MATERIALS AND METHODS: Imaging data from The Cancer Imaging Archive and genomic data from The Cancer Genome Atlas from 110 patients from five institutions with lower-grad...
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| Publicado no: | Radiol Artif Intell |
|---|---|
| Main Authors: | , , , |
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
Radiological Society of North America
2020
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| Assuntos: | |
| Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC8017403/ https://ncbi.nlm.nih.gov/pubmed/33937809 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1148/ryai.2019180050 |
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