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Radiomics and Machine Learning with Multiparametric Breast MRI for Improved Diagnostic Accuracy in Breast Cancer Diagnosis
The purpose of this multicenter retrospective study was to evaluate radiomics analysis coupled with machine learning (ML) of dynamic contrast-enhanced (DCE) and diffusion-weighted imaging (DWI) radiomics models separately and combined as multiparametric MRI for improved breast cancer detection. Cons...
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| Veröffentlicht in: | Diagnostics (Basel) |
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| Hauptverfasser: | , , , , , , , , , , , |
| Format: | Artigo |
| Sprache: | Inglês |
| Veröffentlicht: |
MDPI
2021
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| Schlagworte: | |
| Online Zugang: | https://ncbi.nlm.nih.gov/pmc/articles/PMC8223779/ https://ncbi.nlm.nih.gov/pubmed/34063774 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.3390/diagnostics11060919 |
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