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Efficient Deep Network Architectures for Fast Chest X-Ray Tuberculosis Screening and Visualization
Automated diagnosis of tuberculosis (TB) from chest X-Rays (CXR) has been tackled with either hand-crafted algorithms or machine learning approaches such as support vector machines (SVMs) and convolutional neural networks (CNNs). Most deep neural network applied to the task of tuberculosis diagnosis...
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| Pubblicato in: | Sci Rep |
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| Autori principali: | , , , , |
| Natura: | Artigo |
| Lingua: | Inglês |
| Pubblicazione: |
Nature Publishing Group UK
2019
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| Soggetti: | |
| Accesso online: | https://ncbi.nlm.nih.gov/pmc/articles/PMC6472370/ https://ncbi.nlm.nih.gov/pubmed/31000728 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1038/s41598-019-42557-4 |
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