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Analyzing inter-reader variability affecting deep ensemble learning for COVID-19 detection in chest radiographs
Data-driven deep learning (DL) methods using convolutional neural networks (CNNs) demonstrate promising performance in natural image computer vision tasks. However, their use in medical computer vision tasks faces several limitations, viz., (i) adapting to visual characteristics that are unlike natu...
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| 出版年: | PLoS One |
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| 主要な著者: | , , , , |
| フォーマット: | Artigo |
| 言語: | Inglês |
| 出版事項: |
Public Library of Science
2020
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| 主題: | |
| オンライン･アクセス: | https://ncbi.nlm.nih.gov/pmc/articles/PMC7660555/ https://ncbi.nlm.nih.gov/pubmed/33180877 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1371/journal.pone.0242301 |
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