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Abstract #1164

DL2: Robustness of Deep Learning Processing on Deep Learning reconstructed Lumbar Spine MRI

Madeline Hess1, Emma Bahroos1, Misung Han1, Kenneth Gao1, Valentina Pedoia1, and Sharmila Majumdar1
1University of California, San Francisco, San Francisco, CA, United States


We demonstrate that fast acquisition images reconstructed robust to segmentation with convolutional neural networks, which are known to generate chaotic errors in response to minimal image perturbations. This finding indicates that low-NEX images with DL-based noise reduction are not only robust to human readers, but machine readers as well.

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