Feature-Based-Image-Quality-Assessment-of-clinical-CT-Images

  1. Literature survey of typical images quality features.
  2. Selection of broad range of features to describe the image quality.
  3. Training of a machine learning algorithm based on the selected features for distinguishing different image quality levels.
  4. Evaluation of trained algorithm.
  5. Critical review and summary of the achieved results