Fig. 6.

Performance of the state of art. (a) Visual samples of the vessel segmentation obtained applying Barbalata and Mattos⁶ algorithm to patches with hypertrophic vessels (first row), healthy tissue (second row), and IPCL-like vessels (third row). From left to right, original patch, vessel mask, and vessel mask superimposed on the original patch. (b) Normalized confusion matrix obtained applying Barbalata and Mattos⁶ algorithm to our dataset. Colorbar indicates the number of patches. The total number of patches (no. of patches) is reported.