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Journal of Cancer Research and Therapeutics
Medknow Publications on behalf of the Association of Radiation Oncologists of India (AROI)
ISSN: 0973-1482 EISSN: 0973-1482
Vol. 1, No. 4, 2005, pp. 232-234
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Bioline Code: cr05049
Full paper language: English
Document type: Research Article
Document available free of charge
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Journal of Cancer Research and Therapeutics, Vol. 1, No. 4, 2005, pp. 232-234
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Brief Communications- Detection of breast cancer by mammogram image segmentation
Sheshadri HS, Kandaswamy A
Abstract
An important approach for describing a region is to quantify its structure content. In this paper the use of functions for computing texture based on statistical measures is pescribed.MPM ( Maximizer of the posterior margins) algorithm is employed.The segmentation based on texture feature would classify the breast tissue under various categories. The algorithm evaluates the region properties of the mammogram image and thereby would classify the image into important segments.Images from mini-MIAS data base (Mammogram Image Analysis Society database(UK)) have been considered to conduct our experiments. The segmentation thus obtained is comparatively better than the other normal methods .The validation of the work has been done by visual inspection of the segmented image by an expert radiologist.This is our basic step for developing a computer aided detection (CAD)system for early detection of breast cancer.
Keywords
Mammograms, CAD, Textural analysis, Segmentation
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© Copyright 2005 Journal of Cancer Research and Therapeutics. Alternative site location: http://www.cancerjournal.net/
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