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Practical applications of deep learning: classifying the most common categories of plain radiographs in a PACS using a neural network
OBJECTIVES: The goal of the present study was to classify the most common types of plain radiographs using a neural network and to validate the network’s performance on internal and external data. Such a network could help improve various radiological workflows. METHODS: All radiographs from the yea...
| Autores principales: | , , , , , , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Springer Berlin Heidelberg
2020
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7979627/ https://www.ncbi.nlm.nih.gov/pubmed/32986160 http://dx.doi.org/10.1007/s00330-020-07241-6 |