Explore cutting-edge techniques for enhancing CT image quality in this insightful conference talk by Web Stayman from Johns Hopkins University. Delve into the integration of image quality models with deep learning approaches for CT denoising, uncovering innovative methods to improve diagnostic accuracy and reduce radiation exposure. Gain valuable insights into the latest advancements in medical imaging technology and their potential impact on patient care.
Integrating Image Quality Models into Deep CT Denoising
Overview
Syllabus
Integrating Image Quality Models into Deep CT Denoising
Taught by
Yale Radiology and Biomedical Imaging
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