Breast cancer is one of the most important causes of death among women in the world. Mammography is so far the most common modality for the screening and diagnosis of breast tumor. However they have their limitations especially in young women with dense breasts and this necessitated the development of novel, more sensitive and specific strategies. There are no effective ways to prevent cancers and the only possible way of saving lives is early detection. Breast thermography uses thermal images of the breasts to help in the early diagnosis and detection of breast cancer.
This application will classify the mammogram images into malignant (harmful) or benign (not harmful) classes and will help in the early detection of tumor. The dataset is available and the classification algorithms i.e. (SVM etc.) will be used to perform the mentioned task.
Tools Used: Matlab or OpenCV
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