Research of Two一view Mammographic Masses Detection and Matching Based on Double一Template

Abstract

In order to reduce the detection of false positive m月SSeS and improve the matching rate of the double V1e41 lump， a method of double templates matching to detect the suspicious lesions area has been proposed. paper then， uses the susplelOUS leslOns In the CC-V1eW area t0 1(lentlfy the matChlng bar area In the MLO-mew firstly. This fend }t uses double Sech-template to detect lumps，the areas of high correlation coefficient will be suspicious }eS1l1nS }3.re}3.. After deleting the false positive regions，it fuse the different size template results based shape and area. information. This Finally， paper m月tc卜. it is realized that the m月SS matching which have by measuring the similarity based On rules of mutual selects 100 pairs The experimental of images been confirmed to carry out the experiments of suspicious lesions mass matching in results show that ninety pairs of images have been achieved double-view comparing with the gray-scale layering algorithm.

Keywords

• double-view; template matching; double Seeh-templates; correlation coefficient; mutual informa- t; on