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2010

On combining morphological component analysis and concentric morphology model for mammographic mass detection

9 years 6 months ago
On combining morphological component analysis and concentric morphology model for mammographic mass detection
Mammographic mass detection is an important task for the early diagnosis of breast cancer. However, it is difficult to distinguish masses from normal regions because of their abundant morphological characteristics and ambiguous margins. To improve the mass detection performance, it is essential to effectively preprocess mammogram to preserve both the intensity distribution and morphological characteristics of regions. In this paper, morphological component analysis is first introduced to decompose a mammogram into a piecewise-smooth component and a texture component. The former is utilized in our detection scheme as it effectively suppresses both structural noises and effects of blood vessels. Then, we propose two novel concentric layer criteria to detect different types of suspicious regions in a mammogram. The combination is evaluated based on the Digital Database for Screening Mammography, where 100 malignant cases and 50 benign cases are utilized. The sensitivity of the proposed sc...
Xinbo Gao, Ying Wang, Xuelong Li, Dacheng Tao
Added 22 May 2011
Updated 22 May 2011
Type Journal
Year 2010
Where TITB
Authors Xinbo Gao, Ying Wang, Xuelong Li, Dacheng Tao
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