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Implementation of machine learning into clinical breast MRI: Potential for objective and accurate decision-making in suspicious breast masses
We investigated whether the integration of machine learning (ML) into MRI interpretation can provide accurate decision rules for the management of suspicious breast masses. A total of 173 consecutive patients with suspicious breast masses upon complementary assessment (BI-RADS IV/V: n = 100/76) rece...
| Autores principales: | , , , , , , , , , , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Public Library of Science
2020
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6992224/ https://www.ncbi.nlm.nih.gov/pubmed/31999755 http://dx.doi.org/10.1371/journal.pone.0228446 |