Abstract
Microcalcification detection is a major part of diagnosis in early stage of breast cancer. In this paper, we propose a microcalcification detection system integrating mammogram pre-processing module for image enhancement and microcalcification detection module. In the pre-processing, contrast enhancement and background segmentation are performed. And microcalcification detection module employed multistage ANN (Artificial Neural Network). Experiments results show that the proposed microcalcification detection system shows good performance especially for scanned mammograms. Keywords: Mammography, Breast Cancer, Microcalcification.
| Original language | English |
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| Title of host publication | Proceedings of the 2005 International Conference on Imaging Science, Systems, and Technology |
| Subtitle of host publication | Computer Graphics, CISST'05 |
| Pages | 237-243 |
| Number of pages | 7 |
| State | Published - 2005 |
| Event | 2005 International Conference on Imaging Science, Systems, and Technology: Computer Graphics, CISST'05 - Las Vegas, NV, United States Duration: 27 Jun 2005 → 30 Jun 2005 |
Publication series
| Name | Proceedings of the 2005 International Conference on Imaging Science, Systems, and Technology: Computer Graphics, CISST'05 |
|---|
Conference
| Conference | 2005 International Conference on Imaging Science, Systems, and Technology: Computer Graphics, CISST'05 |
|---|---|
| Country/Territory | United States |
| City | Las Vegas, NV |
| Period | 27/06/05 → 30/06/05 |
UN SDGs
This output contributes to the following UN Sustainable Development Goals (SDGs)
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SDG 3 Good Health and Well-being
Keywords
- Breast cancer
- Mammography
- Microcalcification
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