Evaluation of a New Ensemble Learning Framework for Mass Classification in Mammograms.

Background: Mammography is the most common screening method for diagnosis of breast cancer.

Materials And Methods: In this study, a computer-aided system for diagnosis of benignity and malignity of the masses was implemented in mammogram images. In the computer aided diagnosis system, we first reduce the noise in the mammograms using an effective noise removal technique.

Segmenting breast cancerous regions in thermal images using fuzzy active contours.

Breast cancer is the main cause of death among young women in developing countries. The human body temperature carries critical medical information related to the overall body status. Abnormal rise in total and regional body temperature is a natural symptom in diagnosing many diseases.