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Found 2 papers, 2 papers with code
Robust machine learning segmentation for large-scale analysis of heterogeneous clinical brain MRI datasets
Every year, millions of brain MRI scans are acquired in hospitals, which is a figure considerably larger than the size of any research dataset.
Robust Segmentation of Brain MRI in the Wild with Hierarchical CNNs and no Retraining
We show that this method is considerably more robust than SynthSeg, while also outperforming cascaded networks and state-of-the-art segmentation denoising methods.
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