Clustered calcification detection in mammography based on instance selection
Yao‐Li Li · Computer Engineering and Applications Journal · 2015
A novel approach based on instance selection for calcification cluster in X-ray mammography images is proposed in order to reduce the time and energy in labeling Regions of Interest(ROI)of Computer Aided Detection(CAD)system.The images are partitioned into blocks, then the texture models are established for all instances of negative packages.Afterwards, distances from the instances of unknown packages to the negative average model are calculated, and the instance having the greatest distance is selected as the suspicious region. The experimental results show that this method not only has the ability to extract the ROI automatically, but also can reduce the computation time substantially while keeping the detection performance simultaneously.