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Image patches. The five most commonly observed and used normal and abnormal imaging patterns are shown as image patches. Because machine learning–based classification algorithms often require supervised training for abnormalities, image patches (ie, small image blocks) will be extracted and used in the determination of normal and abnormal classes for the classification process during the lung segmentation. GGO = ground-glass opacity.
