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Found 2 papers, 1 papers with code
Rule-based outlier detection of AI-generated anatomy segmentations
There is a dire need for medical imaging datasets with accompanying annotations to perform downstream patient analysis.
Towards Automatic Abdominal MRI Organ Segmentation: Leveraging Synthesized Data Generated From CT Labels
Our approach shows comparable results compared to fully-supervised segmentation methods trained on MR data.
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