A Survey of Segmentation in Mass Detection Algorithm for Mammography and Thermography

Breast cancer is one of the most important causes of death among women in world between the age of 40 and 55. Breast cancer can be treated effectively only if it is detected at a premature stage. Imaging techniques play a considerable role in assisting breast biopsies, especially of abnormal areas that cannot be felt but can be seen on a conventional mammogram or other techniques. To help radiologists provide an accurate diagnosis, a computeraided detection (CADe) and computer-aided diagnosis (CADx) algorithms are being developed. CADe and CADx algorithms help reducing the number of false positives and they assist radiologists in deciding between follow up and biopsy. This chapter gives a survey of segmentation in mass detection algorithm for mammography and thermography. Patient will be first screened with thermal imaging and then by using mammography technique for breast cancer. The results of these techniques are studied and analysed.