Automated cardiovascular magnetic resonance image analysis with fully convolutional networks

Table 4 Qualitative visual assessment of automated segmentation

Two experienced image analysts visually compared automated segmentation to manual segmentation for 250 test subjects and assessed whether the two segmentations achieved a good agreement (visually close to each other) or not. If there was a disagreement between the two, the analysts would score in three categories: automated segmentation performs better; manual segmentation performs better; not sure which one is better. The visual assessment was performed for basal, mid-ventricular and apical slices. The percentage of each score catetory is reported

ISSN: 1532-429X