Automated quality assessment of chest radiographs based on deep learning and linear regression cascade algorithms

ConclusionsTen quantitative indices correlated well with the subjective perceptions of radiologists regarding the image layout and position of chest radiographs. The automated system provided high performance in measuring quantitative indices and assessing image quality.Key Points• Objective and reliable assessment for image quality of chest radiographs is important for improving image quality and diagnostic accuracy.• Deep learning can be used for automated measurements of quantitative indices from chest radiographs.• Linear regression can be used for interpretation-based quality assessment of chest radiographs.
Source: European Radiology - Category: Radiology Source Type: research