Name
Abstract | ||
|---|---|---|
The accurate segmentation of breast in mammograms is critical for computer-aided diagnosis (CAD) of breast cancer. The challenges of breast segmentation come from tissue superimposition, low contrast and low visible breast boundary, noise areas and artifacts. In this research, a novel Automatic Breast Segmentation (ABS) approach was proposed. The experiment results showed that the proposed ABS approach can segment breast boundary reliably and accurately. |
Year | DOI | Venue |
|---|---|---|
2010 | 10.1109/CIT.2010.283 | CIT |
Keywords | DocType | ISBN |
breast skin-line,mammography,segment breast boundary,low visible breast boundary,computer aided diagnosis,breast segmentation,experiment result,image segmentation,segmentation,noise area,mammograms,automatic segmentation,cancer,breast cancer,automatic breast segmentation approach,mammogram,accurate segmentation,medical computing,low contrast,tissue superimposition,proposed abs approach,computer-aided diagnosis,breast skin line,noise,media,filtering | Conference | 978-1-4244-7547-6 |
Citations | PageRank | References |
7 | 0.56 | 5 |
Authors | ||
3 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Zhiyong Zhang | 1 | 164 | 18.42 |
| Joan Lu | 2 | 24 | 13.30 |
| Jim Yip | 3 | 58 | 8.97 |