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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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| Publicat a: | PLoS One |
|---|---|
| Autors principals: | , , , , |
| Format: | Artigo |
| Idioma: | Inglês |
| Publicat: |
Public Library of Science
2020
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| Matèries: | |
| Accés en línia: | 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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