Volume 1, Issue 2, September 2013, Page: 32-38
Diagnosis of Breast Cancer from Mammograms by Using Fractal Measures
Radu Dobrescu, Automatic Control and Industrial Informatics Department, Politechnic University of Bucharest, Bucharest, Romania
Loretta Ichim, Automatic Control and Industrial Informatics Department, Politechnic University of Bucharest, Bucharest, Romania; Stefan S. Nicolau Institute of Virology, Bucharest, Romania
Daniela Crişan, Romanian-American University, Bucharest, Romania
Received: Sep. 13, 2013;       Published: Oct. 30, 2013
DOI: 10.11648/j.ijmi.20130102.14      View  3188      Downloads  299
Breast cancer is the leading cause of cancer death among women. By the following research we report on a morphological study of 30 cases as seen in mammograms, trying to discriminate among benign and malignant tumors in order to develop new tools investigation in cancer diagnosis. From the contour of each mass, we computed the fractal dimension using box-counting algorithm and for each mammogram texture we computed the lacunarity. We found that the fractal dimension value is not sufficient to differentiate among benign and malignant cases, but it was really effective when it was combined with lacunarity. In conclusion, the results obtained showed that the fractal measure is an important tool for the diagnosis of breast cancer.
Breast Cancer, Diagnosis, Fractal Dimension, Image Analysis, Lacunarity, Mammogram
To cite this article
Radu Dobrescu, Loretta Ichim, Daniela Crişan, Diagnosis of Breast Cancer from Mammograms by Using Fractal Measures, International Journal of Medical Imaging. Vol. 1, No. 2, 2013, pp. 32-38. doi: 10.11648/j.ijmi.20130102.14
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