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Quantitative MRI radiomics in the prediction of molecular classifications of breast cancer subtypes in the TCGA/TCIA data set
Using quantitative radiomics, we demonstrate that computer-extracted magnetic resonance (MR) image-based tumor phenotypes can be predictive of the molecular classification of invasive breast cancers. Radiomics analysis was performed on 91 MRIs of biopsy-proven invasive breast cancers from National C...
Αποθηκεύτηκε σε:
| Τόπος έκδοσης: | NPJ Breast Cancer |
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| Κύριοι συγγραφείς: | , , , , , , , , , , , , , , , |
| Μορφή: | Artigo |
| Γλώσσα: | Inglês |
| Έκδοση: |
Nature Publishing Group
2016
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| Θέματα: | |
| Διαθέσιμο Online: | https://ncbi.nlm.nih.gov/pmc/articles/PMC5108580/ https://ncbi.nlm.nih.gov/pubmed/27853751 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1038/npjbcancer.2016.12 |
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