Fig. 3: The performance of the deep-learning-based method in distinguishing CT scans of BOS from non-BOS patients.
From: Harnessing deep learning to detect bronchiolitis obliterans syndrome from chest CT
Left: weighted ROC curves for individual splits (dotted lines), and the ROC curve resulting from aggregating all splits (continuous blue line); Right: ROC-AUC values of the dotted curves in the left summarized in a box plot. The box extends from the first quartile (Q1) to the third quartile (Q3) of the data, with a line at the median. The whiskers extend from the box to the farthest data point lying within 1.5x the interquartile range (IQR) from the box. Flier points are those past the end of the whiskers. The number of data points for each box plot is 5 (n = 5). BOS bronchiolitis obliterans syndrome.
