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Recalibration of deep learning models for abnormality detection in smartphone-captured chest radiograph
Image-based teleconsultation using smartphones has become increasingly popular. In parallel, deep learning algorithms have been developed to detect radiological findings in chest X-rays (CXRs). However, the feasibility of using smartphones to automate this process has yet to be evaluated. This study...
| Autores principales: | , , , , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Nature Publishing Group UK
2021
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7884693/ https://www.ncbi.nlm.nih.gov/pubmed/33589700 http://dx.doi.org/10.1038/s41746-021-00393-9 |