Mass Segmentation using a Pattern Matching Approach with a Mutual Information Based Metric
Arnau Oliver, Jordi Freixenet, Joan Martı́, M. Peracaula · 2005
Abstract. As an ongoing effort to develop a computer aided system for the detec-tion of masses on mammograms, we propose on this work a new model-based seg-mentation algorithm. The algorithm is based on a template matching scheme by us-ing the mutual information approach in the similarity metric. Thus, the system will be able to determine if it exists a true mass on the studying image. The proposal was developed and evaluated using a database of 120 mammograms, 40 mammograms with confirmed masses and 80 normal ones. CAD performance was assessed using Receiver Operating Characteristics (ROC) and Free Receiver Operating Character-istics (FROC) analysis. The results prove the validity of the proposed method. Keywords.Mammography, Image Segmentation, Template Matching 1.