TY  - JOUR
AU  - Senthilkumar, Balasubramaniam 
AU  - Umamaheswari, Govindaswamy 
PY  - 2013
TI  - New Computer Aided Detection Method for the Effective Detection of Breast Cancer
JF  - OnLine Journal of Biological Sciences
VL  - 12
IS  - 4
DO  - 10.3844/ojbsci.2012.156.160
UR  - https://thescipub.com/abstract/ojbsci.2012.156.160
AB  - Analyzing mammogram images is the most challenging task for radiologists in detecting breast cancer. Computer Aided Detection (CAD) plays major role in detecting such disease. Preprocessing, segmentation and detection are the processes involved in CAD. In this study, we have designed a CAD by improving the processes for the effective detection for breast cancer. Selective median filter has been used for noise reduction, Modified Local Range Modification (MLRM) is used for the enhancement, Cloud Model Based Region Growing Segmentation (CMBRGS) is used for effective segmentation of suspected area and rank based method is used for detection of cancer. This CAD method has been tested for over 40 mammogram images and found the detection accuracy of 98.8%.