Diagnosis System for Hepatocellular Carcinoma Based on Fractal Dimension of Morphometric Elements Integrated in an Artificial Neural Network

<table>(a)–(c) The process of selecting vessels and nuclei for calculating FDs. (a) The initial pathology images. The pathologist can observe the large pleomorphic nuclei and the enlarged nucleus/cytoplasm ratio as well as the prominent nucleoli. Also, after immunohistochemical staining for newly formed blood vessels, the relative paucity in the case of LM as opposed to HCC can be observed. (b) The vessels are selected automatically by the software. (c) The same process is applied on the predefined color channels for cellular nuclei.</table>

BioMed Research International

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Figure 2

Figure 2: Diagnosis System for Hepatocellular Carcinoma Based on Fractal Dimension of Morphometric Elements Integrated in an Artificial Neural Network 

Figure 2 | Diagnosis System for Hepatocellular Carcinoma Based on Fractal Dimension of Morphometric Elements Integrated in an Artificial Neural Network 