Explore the intricacies of image quality evaluation for deep learning-based image reconstruction and denoising techniques in clinical CT applications. Delve into expert insights from Dr. Lifeng Yu of Mayo Clinic as he presents at the Deep Reconstruction Workshop hosted by Yale University. Gain valuable knowledge on cutting-edge methodologies and their impact on enhancing diagnostic imaging in clinical settings.
Image Quality Evaluation of Deep Learning Image Reconstruction and Denoising in Clinical CT
Overview
Syllabus
Image quality evaluation of deep learning image reconstruction and denoising in clinical CT
Taught by
Yale Radiology and Biomedical Imaging
Tags
Related Courses
-
Deep Learning for CT Reconstruction – Image Denoising and Beyond
-
Integrating Image Quality Models into Deep CT Denoising
-
Deep Learning Guided Reconstruction and Processing for PET, SPECT, and CT
-
Advanced Cardiac Imaging: Cardiac Computed Tomography (CT)
-
Medical Image Analysis
-
Prior Knowledge-Driven Machine Intelligence to Maximize the Potential of Low-Dose Spectral CT
