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FRACTAL APPROACH TO IDENTIFY THE GRADE OF CERVICAL CANCER

G. JAYALALITHA

Department of Mathematics, R.V.S. College of Engineering and Technology, Dindigul – 624 005, Tamil Nadu, India

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and

R. UTHAYAKUMAR

Department of Mathematics, Gandhigram Rural University, Gandhigram – 624 302, Tamil Nadu, India

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https://doi.org/10.1142/S0218348X11005154Cited by:2 (Source: Crossref)

Abstract

This paper presents the method of grading of cervical cancer images according to cell formation in the tissue. The variation of intensity and texture complexity of cancer cell images are calculated by fractal dimension methods. Box Counting Method (D_B) and HarFA Programme software are used to find out the dimension of the cells. Contact model and Epidemic Model are the two different models used here. The contact model shows the contact of the cells and the formation of the cancer in the part of the organ. The Epidemic model shows the growth of cancer. Lacunarity is formed between the cells. If the Lacunarity increases the dimension also increases. On seeing the growth of the cancer cell the pathologist can determine the grade of the cancer which in turn will help him to diagnose the cervical cancer and recommend appropriate treatment.

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