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

Yu MengJingru RuanBailin YangYang GaoJianqiu JinFangfang DongHongli JiLinyang HeGuohua ChengXiang-Yang Gong

Published in: European radiology (2022)

• 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.

Keyphrases

deep learning
image quality
machine learning
computed tomography
artificial intelligence
convolutional neural network
dual energy
high throughput
high resolution
magnetic resonance imaging
mass spectrometry
magnetic resonance