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An Evaluation of Two Mammography Segmentation Techniques
Journal: International Journal of Advanced Computer Research (IJACR) (Vol.2, No. 7)Publication Date: 2012-01-26
Authors : Sujata; R. B. Dubey; R. Dhiman; T. J. Singh Chugh;
Page : 14-19
Keywords : Breast cancer; multilevel thresholding; segmentation; Otsu’s method; Kapur’s method.;
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- An Evaluation of Two Mammography Segmentation Techniques
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- DIFFUSION-WEIGHTED IMAGING IN MR MAMMOGRAPHY AS AN ALTERNATIVE TO BIOPSY IN THE EVALUATION OF INTERMEDIATE NON-MASS BREAST LESIONS
- EVALUATION OF RADIATION DOSE TO THYROID GLANDS DURING DIAGNOSTIC MAMMOGRAPHY; A COMPARISON OF CRANIO CAUDAL (CC) AND MEDIO LATERAL OBLIQUE (MLO) VIEWS
Abstract
Mammographic mass detection is an important task for early detection of breast cancer diagnosis and treatment. This is however still remains a challenging task. In this paper, we have proposed a multilevel thresholding algorithm for segmenting the tumor. This paper compares two most popular method, namely between class variance (Otsu) and entropy criterion (Kapur’s) methods for segmenting the tumor. Our algorithms are tested on 20 mammograms and showing promising results.
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