Fuzzy Fractals in Cervical Cancer

To describe complicated systems often requires a mathematical model because it is designed for precise description. To model dynamic processes in biology mathematics is used. Using mathematical and biological data to model the growth of cancer cell is a boom area of cancer disease. Cancer cells keeps developing and apparently unpredictable behavior arising in a deterministic system because of great sensitivity to initial conditions. This chapter represents the images of cancer based on cell formation in the tissue. It explained the complexity of Cancer Cell (CC) images using Fuzzy matrix method, and Sausage method with Maximum Modulus theorem. Matrices are used in representing the cancer cell images of different stage of Cancer patients. The value computed from a square matrix of numbers by a rule of combining products of the matrix entries And from Eigen Vectors shows the cancer cells extension by stretching or compressing and also Eigen values shows the factor of compressing. Eigen Vectors of Normal Cancer cells to Abnormal Cells a re-irregular. The method to find the dimension of irregular figures in Fractal Geometry is called Box-Counting method. Using Box Counting method the Area, perimeter and radius of the Cancer cells are used in Sausage method to find out the invasiveness of cancer cells and also the irregularity growth of cancer cells. Fuzzy Fractals is a noval mathematical combination. This approach is led to proper results which will improve the determination and the stage of the cancer.