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Unsupervised clustering of quantitative image phenotypes reveals breast cancer subtypes with distinct prognoses and molecular pathways
PURPOSE: To identify novel breast cancer subtypes by extracting quantitative imaging phenotypes of the tumor and surrounding parenchyma, and to elucidate the underlying biological underpinnings and evaluate the prognostic capacity for predicting recurrence-free survival (RFS). METHODS: We retrospect...
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| Publié dans: | Clin Cancer Res |
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| Auteurs principaux: | , , , , , , , |
| Format: | Artigo |
| Langue: | Inglês |
| Publié: |
2017
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| Sujets: | |
| Accès en ligne: | https://ncbi.nlm.nih.gov/pmc/articles/PMC5496801/ https://ncbi.nlm.nih.gov/pubmed/28073839 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1158/1078-0432.CCR-16-2415 |
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