Fig. 2

Example of the application of a deep learning-based model (fibrin). Fibrin-stained digitized whole slide section (a) and the corresponding heat map for the fibrin model (b). Black lines represent the manual segmentation of the cortex. Details are shown respectively in the insets (c, d). The fibrin model was trained to recognize the classes of fibrin positive vascular (blue) and non-vascular tissue (green), as well as fibrin-positive cells (circled in red). Legend of the model as it appears in the Aiforia ® interface is shown (e)