Overview
Explore cutting-edge applications of deep learning in medical imaging reconstruction and processing for PET, SPECT, and CT in this insightful conference talk presented by Chi Liu and Bo Zhou from Yale University. Gain valuable knowledge on how artificial intelligence is revolutionizing image reconstruction techniques and enhancing the quality of diagnostic imaging across multiple modalities. Delve into the latest advancements and methodologies that are shaping the future of medical imaging technology, as discussed during the Deep Reconstruction Workshop held at Yale University on March 25, 2023.
Syllabus
Deep Learning Guided Reconstruction and Processing for PET, SPECT, and CT
Taught by
Yale Radiology and Biomedical Imaging
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Reviews
5.0 rating, based on 1 Class Central review
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I found the "Deep Learning Guided Reconstruction and Processing for PET, SPECT, and CT" course by Yale University to be an excellent resource for anyone interested in combining deep learning techniques with medical imaging. The content was detailed and covered key concepts, from image reconstruction to data processing in PET, SPECT, and CT scans. The instructors explained complex topics clearly, and the inclusion of real-world applications was incredibly insightful. However, some parts could benefit from more practical examples or hands-on exercises. Overall, it's a highly informative course for students and professionals in biomedical engineering or radiology.