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Adapting to Unseen Vendor Domains for MRI Lesion Segmentation
Specifically, we want to evaluate how well these models can create synthetic data points representative of the target dataset through image translation, and to see if a segmentation model trained these synthetic data points would approach the performance of a model trained directly on the target dataset.
Siamese Content Loss Networks for Highly Imbalanced Medical Image Segmentation
Automatic segmentation of white matter hyperintensities (WMHs) in magnetic resonance imaging (MRI) remains highly sought after due to the potential to streamline and alleviate clinical workflows.
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