Evaluating a Deep Learning-Based CT Image Quality Model Using Radiologist Assessment In Clinical Abdominal CT
Deep learning-based image quality assessment (DL-IQA) models are commonly trained using radiologist ratings and may provide a more objective approach to CT image quality evaluation. However, clinical deployment may be limited by institutional variation in sca...
Poster Program · Diagnostic and Interventional Radiology Physics