Practical applications of deep learning: classifying the most common categories of plain radiographs in a PACS using a neural network
The purpose of this study was to classify the most common types of plain radiography through the use of a neural network and, subsequently, to validate the network’s performance on internal and external data. The authors used data from a single institution when classifying the most common categories of radiographs. This study resulted in the authors determining that it is