Estimation of breast density on digital mammograms

被引：0
|
作者：
Goto, Sachiko [1 ]
Azuma, Yoshiharu [1 ]
Aoyama, Hideki [2 ,3 ]
Sumimoto, Tetsuhiro [1 ]
机构：
[1] Okayama Univ, Sch Med, Fac Hlth Sci, Okayama 7008558, Japan
[2] Okayama Univ Hosp, Cent Div Radiol, Okayama 7008558, Japan
[3] Okayama Univ, Grad Sch Hlth Sci, Okayama 7008558, Japan
来源：
SIGNAL ANALYSIS, MEASUREMENT THEORY, PHOTO-ELECTRONIC TECHNOLOGY, AND ARTIFICIAL INTELLIGENCE, PTS 1 AND 2 | 2006年 / 6357卷
关键词：
digital mammograms; breast density; breast-equivalent phantoms;
D O I：
10.1117/12.716998
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
We built an estimation system of individual breast density from digital mammograms by using breast tissue equivalent phantoms that are able to change the mixture ratio of adipose and glandular tissue and the thickness. The method was compared with a visual assessment of breast density by the radiologists as a gold standard. The clinical image data set that consisted of 49 mammograms of 21 patients were analyzed. The average of the estimated glandular rate was 35.0%, while varying from 12.0% to 67.0%. This system can apply in clinical practice such as the visual estimation of breast density.
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页数：5
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