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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...
Kaydedildi:
| Yayımlandı: | J Digit Imaging |
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| Asıl Yazarlar: | , |
| Materyal Türü: | Artigo |
| Dil: | Inglês |
| Baskı/Yayın Bilgisi: |
Springer International Publishing
2017
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| Konular: | |
| Online Erişim: | 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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