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REFLACX, a dataset of reports and eye-tracking data for localization of abnormalities in chest x-rays
Deep learning has shown recent success in classifying anomalies in chest x-rays, but datasets are still small compared to natural image datasets. Supervision of abnormality localization has been shown to improve trained models, partially compensating for dataset sizes. However, explicitly labeling t...
| Autores principales: | , , , , , , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Nature Publishing Group UK
2022
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9206650/ https://www.ncbi.nlm.nih.gov/pubmed/35717401 http://dx.doi.org/10.1038/s41597-022-01441-z |