Abstract
This investigation attempts to analyze the growth of brain cancerous tissue employing the technique of fractal geometry, specifically computing the fractal dimensions. The fractal dimensions were determined using a box-counting method. The earliest stage showed lowest fractal dimension (D), 1.6541. The intermediate stage showed maximum fractal dimension of 1.7016 while the last stage available showed slightly lower D value of 1.6847. These results were found to be in agreement with those of previous studies on certain cancer types. The use of fractal analysis in the diagnosis of cancer is discussed. It has been shown that the fractal dimension of 2D microvasculature networks can discriminate between normal versus tumor tissue. Fractal dimensions also differed between various stages of malignancy.

S. Shahid Shaukat, Hamna Nasir, Nasir Uddin Khan, D. Khan. (2011) MODELING OF BRAIN CANCER DEVELOPMENT USING FRACTAL GEOMETRY, , Volume 08, Issue 4.
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