Image retrieval system of mammographie masses by using local pattern matching technique

We proposed a concept of content-based image retrieval and demonstrated the potential usefulness in mammography. The approach incorporated a local-pattern matching method based on Nth-order autocorrelation features with KL expansion (principal components analysis) to retrieve similar mass shadows on digitized screen/film mammograms. We confirmed the tendency that similar mass images were retrieved as the initial studies by using the 75 images of mammographic masses.