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Automated abnormality classification of chest radiographs using deep convolutional neural networks
As one of the most ubiquitous diagnostic imaging tests in medical practice, chest radiography requires timely reporting of potential findings and diagnosis of diseases in the images. Automated, fast, and reliable detection of diseases based on chest radiography is a critical step in radiology workfl...
Zapisane w:
| Wydane w: | NPJ Digit Med |
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| Główni autorzy: | , , , , , , , , , , |
| Format: | Artigo |
| Język: | Inglês |
| Wydane: |
Nature Publishing Group UK
2020
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| Hasła przedmiotowe: | |
| Dostęp online: | https://ncbi.nlm.nih.gov/pmc/articles/PMC7224391/ https://ncbi.nlm.nih.gov/pubmed/32435698 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1038/s41746-020-0273-z |
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