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Limited generalizability of deep learning algorithm for pediatric pneumonia classification on external data
PURPOSE: (1) Develop a deep learning system (DLS) to identify pneumonia in pediatric chest radiographs, and (2) evaluate its generalizability by comparing its performance on internal versus external test datasets. METHODS: Radiographs of patients between 1 and 5 years old from the Guangzhou Women an...
| Autores principales: | , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
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Springer International Publishing
2021
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8515154/ https://www.ncbi.nlm.nih.gov/pubmed/34648114 http://dx.doi.org/10.1007/s10140-021-01954-x |