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Comparing different deep learning architectures for classification of chest radiographs
Chest radiographs are among the most frequently acquired images in radiology and are often the subject of computer vision research. However, most of the models used to classify chest radiographs are derived from openly available deep neural networks, trained on large image datasets. These datasets d...
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| Gepubliceerd in: | Sci Rep |
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| Hoofdauteurs: | , , , , , |
| Formaat: | Artigo |
| Taal: | Inglês |
| Gepubliceerd in: |
Nature Publishing Group UK
2020
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| Onderwerpen: | |
| Online toegang: | https://ncbi.nlm.nih.gov/pmc/articles/PMC7423963/ https://ncbi.nlm.nih.gov/pubmed/32788602 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1038/s41598-020-70479-z |
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