SONG Li-xin LI DonR--honR-Z, PEI henR- ZENG ha矿 NIU Bin. Research of Two一view Mammographic Masses Detection and Matching Based on Double一Template[J]. 2017, 22(2): 129-134.
DOI:
SONG Li-xin LI DonR--honR-Z, PEI henR- ZENG ha矿 NIU Bin. Research of Two一view Mammographic Masses Detection and Matching Based on Double一Template[J]. 2017, 22(2): 129-134.DOI: 10.15938/j.jhust.2017.02.024.
Research of Two一view Mammographic Masses Detection and Matching Based on Double一Template
In order to reduce the detection of false positivem月SSeSand improve the matching rate of the doubleV1e41lump,a method of double templates matching to detect the suspicious lesions area has been proposed.paperthen,uses the susplelOUS leslOns In the CC-V1eW area t0 1(lentlfy the matChlng bar area In the MLO-mew firstly.Thisfend}tuses double Sech-template to detect lumps,the areasof high correlation coefficient will be suspicious}eS1l1nS }3.re}3..After deleting the false positive regions,it fuse the differentsize template results basedshape and area.information. ThisFinally,paperm月tc卜.it is realized that them月SSmatchingwhich haveby measuring the similarity basedOnrules ofmutualselects 100 pairsThe experimentalof imagesbeen confirmed to carry out the experiments ofsuspicious lesionsmass matching inresults show that ninety pairs of images have been achieved double-viewcomparing with the gray-scale layering algorithm.