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Objective risk stratification of prostate cancer using machine learning and radiomics applied to multiparametric magnetic resonance images
Multiparametric magnetic resonance imaging (mpMRI) has become increasingly important for the clinical assessment of prostate cancer (PCa), but its interpretation is generally variable due to its relatively subjective nature. Radiomics and classification methods have shown potential for improving the...
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| Publicado no: | Sci Rep |
|---|---|
| Main Authors: | , , , , , , , , , , |
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
Nature Publishing Group UK
2019
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| Assuntos: | |
| Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC6367324/ https://ncbi.nlm.nih.gov/pubmed/30733585 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1038/s41598-018-38381-x |
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