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Deep Learning for identifying radiogenomic associations in breast cancer
RATIONALE AND OBJECTIVES: To determine whether deep learning models can distinguish between breast cancer molecular subtypes based on dynamic contrast-enhanced magnetic resonance imaging (DCE-MRI). MATERIALS AND METHODS: In this institutional review board–approved single-center study, we analyzed DC...
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| Pubblicato in: | Comput Biol Med |
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| Autori principali: | , , , , , |
| Natura: | Artigo |
| Lingua: | Inglês |
| Pubblicazione: |
2019
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| Soggetti: | |
| Accesso online: | https://ncbi.nlm.nih.gov/pmc/articles/PMC7155381/ https://ncbi.nlm.nih.gov/pubmed/31048129 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1016/j.compbiomed.2019.04.018 |
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