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Upper gastrointestinal anatomy detection with multi-task convolutional neural networks
Esophagogastroduodenoscopy (EGD) has been widely applied for gastrointestinal (GI) examinations. However, there is a lack of mature technology to evaluate the quality of the EGD inspection process. In this Letter, the authors design a multi-task anatomy detection convolutional neural network (MT-AD-...
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| 出版年: | Healthc Technol Lett |
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| 主要な著者: | , , , , , , , , |
| フォーマット: | Artigo |
| 言語: | Inglês |
| 出版事項: |
The Institution of Engineering and Technology
2019
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| 主題: | |
| オンライン･アクセス: | https://ncbi.nlm.nih.gov/pmc/articles/PMC6945683/ https://ncbi.nlm.nih.gov/pubmed/32038853 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1049/htl.2019.0066 |
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