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Polyp detection during colonoscopy using a regression-based convolutional neural network with a tracker
A computer-aided detection (CAD) tool for locating and detecting polyps can help reduce the chance of missing polyps during colonoscopy. Nevertheless, state-of-the-art algorithms were either computationally complex or suffered from low sensitivity and therefore unsuitable to be used in real clinical...
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| 出版年: | Pattern Recognit |
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| 主要な著者: | , , , , |
| フォーマット: | Artigo |
| 言語: | Inglês |
| 出版事項: |
2018
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| 主題: | |
| オンライン･アクセス: | https://ncbi.nlm.nih.gov/pmc/articles/PMC6519928/ https://ncbi.nlm.nih.gov/pubmed/31105338 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1016/j.patcog.2018.05.026 |
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