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1
Published in 2022 at "Journal of Magnetic Resonance Imaging"
DOI: 10.1002/jmri.28329
Abstract: T his study 1 applied nnU-Net, developed by Isensee et al, 2 to as many as 659 meningioma patient images in total after contrast enhancement for automatic segmentation. Both training and validation data images were…
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Keywords:
editorial fully;
fully automated;
segmentation volumetric;
automated mri ... See more keywords
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0
Published in 2020 at "Skeletal Radiology"
DOI: 10.1007/s00256-020-03505-w
Abstract: Objective Lumbar spine MRI interpretations have high variability reducing utility for surgical planning. This study evaluated a convolutional neural network (CNN) framework that generates automated MRI grading for its ability to predict the level that…
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Keywords:
aggregate score;
surgical level;
level;
lumbar ... See more keywords