MammoSysLesion: a Content-Based Image Retrieval System for Mammographies
نویسندگان
چکیده
In this paper, we present a content-based image retrieval system designed to retrieve mammographies from large medical image databases. The system is developed based on breast density and lesion, according to the categories defined by the American College of Radiology, and is integrated to the database of the Image Retrieval in Medical Applications (IRMA) project, that provides images with classification ground truth. Two dimensional principal component analysis is used for texture characterization and support vector machine is used for image retrieval task. Average precision rates are in the range of 72.14% to 80.64% considering a set of 1,392 mammographies. Medical images database, content-based image retrieval, two-dimensional principal component analysis, breast lesion.
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