Automated annotation error detection and correction for manual two-dimensional cinematic magnetic resonance imaging segmentations using segment anything 2
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Performance of deep learning-based models for tumour tracking in magnetic resonance-guided radiotherapy hinges on high-quality labelled data. Medical images are prone to annotation errors, making data cleaning essential. We propose an automatic data cleaning t... ...
