A collaborative resource to build consensus for automated left ventricular segmentation of cardiac MR images
A collaboration to establish consensus ground truth segmentations for cardiac MRI. Consensus contours combined automated algorithms with expert rater by using STAPLE. Limiting regions of rater discrepancy maintained high quality consensus images. More raters would further increase the quality of consensus segmentation images. An objective measure based on global rater performance is introduced to test a candidate rater.
consensus images segmentation challenge lv myocardium