Computer Aided Detection of Breast Density and Mass, and Visualization of Other Breast Anatomical Regions on Mammograms Using Graph Cuts

• Main Authors: Saidin, Nafiza, Mat Sakim, Harsa Amylia, Ngah, Umi Kalthum, Lutfi Shuaib, Ibrahim
• Format: Article
• Language: English
• Published: Hindawi Publishing Corporation 2013
• Subjects: RK1-715 Dentistry; TK1-9971 Electrical engineering. Electronics. Nuclear engineering
• Online Access: http://eprints.usm.my/38478/1/Computer_Aided_Detection_of_Breast_Density_and_Mass%2C_and_Visualization_of_Other_Breast.pdf; http://eprints.usm.my/38478/; http://dx.doi.org/10.1155/2013/205384
• Institution: Universiti Sains Malaysia

Breast cancer mostly arises from the glandular (dense) region of the breast. Consequently, breast density has been found to be a strong indicator for breast cancer risk.Therefore, there is a need to develop a systemwhich can segment or classify dense breast areas. In a dense breast, the sensitivit...