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 year...
| Publicado en: | European Radiology Vol. 31; no. 4; pp. 1812 - 1819 |
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| Autores principales: | , , , , , , , , |
| Formato: | Journal Article |
| Publicado: |
Springer Nature
Apr2021
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| Acceso en línea: | Ver este registro en EBSCOhost |