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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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| 出版年: | Med Phys |
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| 主要な著者: | , , , , , , |
| フォーマット: | Artigo |
| 言語: | Inglês |
| 出版事項: |
John Wiley and Sons Inc.
2019
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| 主題: | |
| オンライン・アクセス: | 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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