A Framework for Automated Cardiovascular Magnetic Resonance Image Quality Scoring based on EuroCMR Registry Criteria
Author:
Affiliation:
1. Shahid Beheshti University,Faculty of Computer Science and Engineering,Tehran,Iran
2. The University of Manchester,Division of Informatics, Imaging and Data Sciences Schools of Computer Science and Health Sciences,Manchester,U.K.
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10326217/10326219/10326232.pdf?arnumber=10326232
Reference27 articles.
1. Deep learning model for automatic image quality assessment in PET
2. Development and validation of image quality scoring criteria (IQSC) for pediatric CT: a preliminary study
3. Image Quality Assessment to Emulate Experts’ Perception in Lumbar MRI Using Machine Learning
4. No-reference perceptual CT image quality assessment based on a self-supervised learning framework
5. Structural similarity index family for image quality assessment in radiological images
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