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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...

詳細記述

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書誌詳細
出版年:Med Phys
主要な著者: Parekh, Vishwa S., Macura, Katarzyna J., Harvey, Susan C., Kamel, Ihab R., EI‐Khouli, Riham, Bluemke, David A., Jacobs, Michael A.
フォーマット: Artigo
言語:Inglês
出版事項: John Wiley and Sons Inc. 2019
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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