Early Breast Cancer Detection By Using Image Processing
PROF. AJIT KUMAR YADAV · Zenodo (CERN European Organization for Nuclear Research) · 2016
In developed nations,the breast cancer rate is high. The mass segmentation methods in mammogram plays important role in Computer aided diagnosis (CAD) system . In this paper is supposed to do the breast cancer detection by using the Bidimensional Empirical Mode Decomposition (BEMD) method. Breast cancers are traditionally known to be one of the major causes of death among women. In this work,a novel segmentation approach by contour extraction was developed,based on two main phases:detection of (ROI) and region segmentation. Our approach consists of first finding regions of interests that can be suspicious masses in mammograms by using the iterative thresholding algorithm. Then the contours of the regions of interests are extracted from the first mode obtained by applying the (BEMD) Bidimensional Empirical Mode Decomposition https://www.ijiert.org/paper-details?paper_id=140903