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Multiparametric deep learning tissue signatures for a radiological biomarker of breast cancer: Preliminary results
PURPOSE: Deep learning is emerging in radiology due to the increased computational capabilities available to reading rooms. These computational developments have the ability to mimic the radiologist and may allow for more accurate tissue characterization of normal and pathological lesion tissue to a...
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| Publicado no: | Med Phys |
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| Main Authors: | , , , , , , |
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
John Wiley and Sons Inc.
2019
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| Assuntos: | |
| Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC7003775/ https://ncbi.nlm.nih.gov/pubmed/31598978 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1002/mp.13849 |
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