Labview implementation of identification of early signs of breast cancer

Breast cancer is the Second leading cause of cancer death among women. It has become a major health issue in the world over the past 50 years and it has increased in recent years. Early detection is an effective way to diagnose and manage breast cancer. Mammography is an efficient imaging technique for detection and diagnosis of breast pathological disorders at the early stage. This paper presents algorithms which are combination of image processing techniques to remove noise and enhancement of mammography images for identification of microcalcifications. Efficient methods such as use of wavelets and adaptive histogram equalization techniques, along with fusion techniques are used for image enhancement to detect microcalcifications using Labview.