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Machine learning applications in prostate cancer magnetic resonance imaging
With this review, we aimed to provide a synopsis of recently proposed applications of machine learning (ML) in radiology focusing on prostate magnetic resonance imaging (MRI). After defining the difference between ML and classical rule-based algorithms and the distinction among supervised, unsupervi...
Tallennettuna:
| Julkaisussa: | Eur Radiol Exp |
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| Päätekijät: | , , , , , , , |
| Aineistotyyppi: | Artigo |
| Kieli: | Inglês |
| Julkaistu: |
Springer International Publishing
2019
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| Aiheet: | |
| Linkit: | https://ncbi.nlm.nih.gov/pmc/articles/PMC6686027/ https://ncbi.nlm.nih.gov/pubmed/31392526 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1186/s41747-019-0109-2 |
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