A new hybrid method for segmentation and detection of the tumors in the mammographic images of the breast tissue

A new hybrid method for segmentation and detection of the tumors in the mammographic images of the breast tissue

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Part of #A new hybrid method for segmentation and detection of the tumors in the mammographic images of the breast tissue# :

Publishing year : 2015

Conference : Second International Conference on Knowledge Engineering and Innovation

Number of pages : 6

Abstract: Segmentation and the detection of tumors in the breast tissue are one of the most serious challenges in breast cancer diagnosis. Nowadays mammography is the first and best way to detect tumors in the breast, in which, inaccurate segmentation and detection of the masses leads to a wrong diagnosis or unnecessary biopsy of the breast tissue. In this paper, we present a new hybrid method for segmentation and detection of tumors in mammographic images of breast tissue. This method is based on histogram analysis and the hybrid of the ant colony optimization and wavelet transform as well as mathematical morphology. The obtained results for 300 mammographic images show more than 75% accuracy in segmentation and detection of the tumors