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Automated Radiology Report Summarization Using an Open-Source Natural Language Processing Pipeline
Diagnostic radiologists are expected to review and assimilate findings from prior studies when constructing their overall assessment of the current study. Radiology information systems facilitate this process by presenting the radiologist with a subset of prior studies that are more likely to be rel...
保存先:
| 出版年: | J Digit Imaging |
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| 主要な著者: | , |
| フォーマット: | Artigo |
| 言語: | Inglês |
| 出版事項: |
Springer International Publishing
2017
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| 主題: | |
| オンライン･アクセス: | https://ncbi.nlm.nih.gov/pmc/articles/PMC5873469/ https://ncbi.nlm.nih.gov/pubmed/29086081 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1007/s10278-017-0030-2 |
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