Detection of malignant tumors in mammograms using SVMs

This paper proposes an algorithm for automatic detection of malignant tumors in mammograms using support vector machines (SVM). The proposed algorithm is tested using real digital mammograms of normal, benign, or malignant tissue. The results show the potential of SVMs in handling data of high dimension. The contribution is in the preprocessing involved and in the training mechanism needed.