Estimating the Skin Cancer Using Fractals

Skin Cancer can be classified by the model of fractal, which are based in vitro and by the way of approaching the cells potential in a hierarchical manner. The classification framework is probabilistic and automated. The framework includes a feature extraction such as irregular border, color and diameter in a robust manner. Malignant melanoma (MM), a skin cancer, manifests itself as a dark lesion, most often with an irregular boundary. The degree of irregularity is an important diagnostic indicator. Cell potential can be analyzed by Fickian Diffusion process. Percolation model explains the spreading of cancer in the tissue. The Box counting method (D_B) and the Sausage method (D_s) are used to find out the dimensions of the affected cells in an accurate manner. This fractal approach led to very promising results which improved the determination and examination of skin cancer.