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Truncating a densely connected convolutional neural network with partial layer freezing and feature fusion for diagnosing COVID-19 from chest X-rays
Deep learning and computer vision revolutionized a new method to automate medical image diagnosis. However, to achieve reliable and state-of-the-art performance, vision-based models require high computing costs and robust datasets. Moreover, even with the conventional training methods, large vision-...
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| Foilsithe in: | MethodsX |
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| Príomhúdar: | |
| Formáid: | Artigo |
| Teanga: | Inglês |
| Foilsithe: |
Elsevier
2021
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| Ábhair: | |
| Rochtain Ar Líne: | https://ncbi.nlm.nih.gov/pmc/articles/PMC8178958/ https://ncbi.nlm.nih.gov/pubmed/34109106 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1016/j.mex.2021.101408 |
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