A Review of Breast Density Classification Methods

被引:0
作者
Kumar, Indrajeet [1 ]
Virmani, Jitendra [2 ]
Bhadauria, H. S. [1 ]
机构
[1] GBPEC, Pauri, UK, India
[2] Jaypee Univ Informat & Technol, Waknaghat, HP, India
来源
2015 2ND INTERNATIONAL CONFERENCE ON COMPUTING FOR SUSTAINABLE GLOBAL DEVELOPMENT (INDIACOM) | 2015年
关键词
Breast cancer; Breast density; Classification; Feature extraction; Feature selection; Mammograms; FOCAL LIVER-LESIONS; MAMMOGRAPHIC DENSITY; CANCER RISK; PARENCHYMAL PATTERNS; STATISTICAL APPROACH; CAD-SYSTEM; TISSUE;
D O I
暂无
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
Breast cancer is the most common life threatening disease found in women in the developed countries. The risk factor of breast cancer is related to breast density, which is estimated with the help of mammography. Breast density can be evaluated by qualitative as well as quantitative methods. Few CAD systems have been designed for the automated classification of breast density. These CAD system designs have either used the segmented breast tissue or a predefined ROI; therefore these CAD designs can be broadly classified as Segmentation-based approaches or ROI-based approaches as described in this article. After that the BI-RADS classification is performed based on the extracted texture features.
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页码:1960 / 1967
页数:8
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