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Examples of successful machine learning–based segmentation. Machine learning–based methods can identify various abnormal imaging patterns (green areas), such as consolidation and an atelectatic segment of the lingula (a), areas of ground-glass opacity (b), brochiectatic air bronchograms (c), patchy consolidation and a cavity (d), and consolidation and crazy-paving pattern (e). Because of these successful depictions, the final lung delineations were not erroneous.
