Automated convolutional neural network-based reject–repeat decision system for chest radiographs
Image quality in radiography is essential for diagnostic accuracy, yet reject–repeat analysis (RRA) is still mostly performed manually and depends on subjective radiographer judgment. Inter-operator variability leads to inconsistent quality data and limits workflow optimization. While many studies evaluate deep learnin...