Mammogram Pre Processing and Data Manipulation using Novel Threshold Based Pre Reduction Technique

Abstract

Mammography is the best existing assessment for the discovery of early indications of breast cancer, for example, masses, calcifications, respective asymmetry and building twisting. Furthermore, mammograms are hard to interpret, particularly of cancer at their beginning times. The presence of relics and commotions can exasperate the location of breast cancer and decrease the pace of accuracy in the computer aided analysis (CAD). For this reason, pre-processing of mammogram images is significant during the time spent breast cancer analysis since it could decrease the quantity of false positive. Then again, it could assist radiologists with making an examination between mammograms. This paper proposed to Novel Threshold Based Pre Reduction Technique and Pre Processing research strategy of mammography breast cancer image processing.