Fig. 5

Iron model and correlation with the respective semiquantitative score. Severity of cortical iron deposits is shown in the overview (a absent; b mild; c moderate; d severe) and in greater detail in the insets, which reveal iron-positive cells (in blue) (a’–d’). a’’–d’’ show the respective deep learning-derived prediction. Within the manually segmented cortex (black lines in a–d), tissue area recognized by the model is overlaid in green, while objects (iron-positive cells) are identified by light blue circles. Iron-model heat map of a whole slide from a CAA case with cortical superficial siderosis (e). Box plots show the correlation between semiquantitative visual scores and continuous measures derived using the deep learning-based model in a total number of 65 whole slides. Interquartile range (top and bottom of the box), median (central band), outliers (data points beyond the whiskers) and individual data points are visualized. Key: green = cortical tissue; light blue = iron-positive cells