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Fig. 1 | BMC Medical Imaging

Fig. 1

From: Gray and white matter structural examination for diagnosis of major depressive disorder and subthreshold depression in adolescents and young adults: a preliminary radiomics analysis

Fig. 1

Flowchart of the radiomics process. First, the 3D-T1WI and DTI images were acquired and preprocessed. Then radiomics features of shape properties of gray matter, diffusion properties of white matter and their distribution metrics i.e., statistical metrics for each labeled region were extracted. Shape properties included local cortical thickness, mean curvature, convexity, geodesic depth, and travel depth. Diffusion properties contained fractional anisotropy (FA), mean diffusivity (MD), axial diffusivity (AD), and radial diffusivity (RD). Distribution metrics consisted of mean, standard deviation (SD), skew, and kurtosis. In the end, flowchart shows features selection and classifier construction. The all-relevant features selection step was embedded in 10-fold cross-validation. Random forest classifiers (RFC) were established and evaluated to discriminate patients with MDD or StD from healthy controls. Abbreviation: MDD, major depressive disorder; StD, subthreshold depression

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