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Yale University

Deep Learning Guided Reconstruction and Processing for PET, SPECT, and CT

Yale University via YouTube

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

Reviews

5.0 rating, based on 1 Class Central review

Start your review of Deep Learning Guided Reconstruction and Processing for PET, SPECT, and CT

  • Profile image for MAINA JOHN WANJIRA
    MAINA JOHN WANJIRA
    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.

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