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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Kai-yang Li Zheng Dong |
| Copyright Year | 2006 |
| Description | Author affiliation: Lab. of Biophys. & Biomedical Eng., Wuhan Univ. (Kai-yang Li; Zheng Dong) |
| Abstract | Mammography is the most widely used and the most efficient method for detection of breast cancer. In which, calcifications are the most important signs of breast cancers. In order to help the radiologist read the mammograms more efficiently, detection of calcifications becomes a significant problem for the computer-aid diagnosis. A novel method of detecting calcifications from mammogram images based on wavelet transformation and Sobel detector, is introduced in this paper. A wavelet based image enhancement technique and the Sobel gradient operator are used consequently, to distinguish the calcifications from the breast tissues |
| Starting Page | 1503 |
| Ending Page | 1508 |
| File Size | 1635482 |
| Page Count | 6 |
| File Format | |
| ISBN | 1424404657 |
| DOI | 10.1109/ICMA.2006.257397 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2006-06-25 |
| Publisher Place | China |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Cancer detection Breast cancer Breast tissue Detectors Diseases Mammography Filters Mechatronics Automation Laboratories Sobel detector Mammogram calcification wavelet-based enhancement |
| Content Type | Text |
| Resource Type | Article |
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