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Dženan Zukić, Anne Haley, C. Lisle, James Klo, K. Pohl, Hans J. Johnson, Aashish Chaudhary
2 2022.

Medical Image Quality Assurance using Deep Learning

We present an open-source web tool for quality control of distributed imaging studies. To minimize the amount of human time and attention spent reviewing the images, we created a neural network to provide an automatic assessment. This steers reviewers’ attention to potentially problematic cases, reducing the likelihood of missing image quality issues. We test our approach using 5-fold cross validation on a set of 5217 magnetic resonance images.

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