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Augmenting Interpretation of Chest Radiographs with Deep Learning Probability Maps
PURPOSE: Pneumonia is a common clinical diagnosis for which chest radiographs are often an important part of the diagnostic workup. Deep learning has the potential to expedite and improve the clinical interpretation of chest radiographs. While earlier approaches have emphasized the feasibility of “b...
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| 出版年: | J Thorac Imaging |
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| 主要な著者: | , , , |
| フォーマット: | Artigo |
| 言語: | Inglês |
| 出版事項: |
2020
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| 主題: | |
| オンライン･アクセス: | https://ncbi.nlm.nih.gov/pmc/articles/PMC7483166/ https://ncbi.nlm.nih.gov/pubmed/32205817 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1097/RTI.0000000000000505 |
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