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. 2022 Nov 21;3(2):100259. doi: 10.1016/j.xops.2022.100259

Figure 2.

Figure 2

Diabetes mellitus (DM) diagnosis: machine learning models performance for DM classification based on radiomic features of retinal images. Box-and-whiskers plots representing area under the curve (AUC) values for each retinal image type. Top-left: radiomics extracted from each retinal image type. Top right: radiomics extracted from each retinal image type + clinical variables. Bottom-left: radiomics, extracted from each OCT angiography (OCTA) type. Bottom-right: radiomics, extracted from each OCTA type + clinical variables. FR = fundus retinography; LDA = Linear discriminant analysis; rbf = radial basis function; SVC = support vector classifier.