Computer Aided Detection of Breast Density and Mass, and Visualization of Other Breast Anatomical Regions on Mammograms Using Graph Cuts
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...
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Main Authors: | , , , |
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Format: | Article |
Language: | English |
Published: |
Hindawi Publishing Corporation
2013
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Subjects: | |
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 |
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