Title :
A Framework of Breast Density Estimation System for Breast Magnetic Resonance Images
Author :
Chia-Hung Wei ; Chih-Ying Gwo ; Yue Li
Author_Institution :
Dept. of Inf. Manage., Chien Hsin Univ. of Sci. & Technol., Taoyuan, Taiwan
Abstract :
Breast density, which is defined as the proportion of fibro glandular tissues in a breast, is a potential indicator for breast cancer risk. This paper proposes an information system entitled BREASDEN (BREASt DENsity) to estimate breast density in breast magnetic resonance (MR) images.
Keywords :
biological tissues; biomedical MRI; cancer; mammography; medical image processing; medical information systems; BREASDEN information system; BREASt DENsity information system; breast MR image; breast cancer risk indicator; breast density estimation system framework; breast magnetic resonance image; fibro glandular tissue proportion; Breast cancer; Estimation; Image segmentation; Magnetic resonance; Mammography; Radiology; breast density; breast magnetic resonance Images; digital image processing; pattern recognition;
Conference_Titel :
Information Science and Control Engineering (ICISCE), 2015 2nd International Conference on
Conference_Location :
Shanghai
Print_ISBN :
978-1-4673-6849-0
DOI :
10.1109/ICISCE.2015.9
