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Fig. 1 | Journal of Cardiovascular Magnetic Resonance

Fig. 1

From: Automated quality control in image segmentation: application to the UK Biobank cardiovascular magnetic resonance imaging study

Fig. 1

Reverse Classification Accuracy - Single-atlas Registration Classifier. Reverse Classification Accuracy (RCA), with single-atlas registration classifier, as applied in our study. A set of reference images are first registered to the test-image before the resulting transformations are used to warp the corresponding reference segmentations. Dice Similarity Coefficient (DSC) is calculated between the warped segmentations and the test-segmentation with the maximum DSC taken as a proxy for the accuracy of the test-segmentation. Note that in practice, the ground truth test-segmentation is absent. Images and segmentation annotated as referred to in the text

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