This work describes a content-based image retrieval system developed to aid in the diagnosis of breast lesions by visual inspection through comparison of images. When an unknown image is presented the system extracts a vector of texture features and searches a database for images with similar characteristics, within a previously established approximation. The retrieved images are presented to the user for evaluation of the associated diagnoses.
Content-based image retrieval; Pattern recognition; Texture features
