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Fig. 7 | Journal of Cardiovascular Magnetic Resonance

Fig. 7

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

Fig. 7

Investigating the Effect of Reference Set Size on Prediction Accuracy. 4,805 automated segmentations from Experiment B were processed with Reverse Classification Accuracy (RCA) using differing numbers of reference images. Random subsets of 10, 15, 35, 50, 65 and 75 reference images were taken from the full set of 100 available reference images. Five random runs were performed to obtain error bars for each setting. Average prediction accuracy increases with increasing number of reference images and the variance between runs also decreases

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