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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Gunawan, D. |
| Copyright Year | 2001 |
| Description | Author affiliation: Electr. Eng. Dept., Univ. of Indonesia, Indonesia (Gunawan, D.) |
| Abstract | This paper presents a new method for detection of microcalcification using wavelet transform based on statistical methods. Digitized mammograms are decomposed using the wavelet transform without down sampling process at several levels in the transform space. In order to improve the contrast enhancement of images, the multiscale adaptive gain as an enhancement method was applied. Skewness, kurtosis and boxplot outlier were applied as detection method of the previous modification image with a specific size of region of interest. We have simulated this algorithm by using 30 variations of images as part of 18 digitized mammograms. Preliminary results show visually that applied detecting method has 96% in an effectiveness level. |
| Starting Page | 694 |
| Ending Page | 697 |
| File Size | 338008 |
| Page Count | 4 |
| File Format | |
| ISBN | 0780370805 |
| DOI | 10.1109/PACRIM.2001.953727 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2001-08-26 |
| Publisher Place | Canada |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Wavelet transforms Breast cancer Filter bank Image sampling Mammography Image reconstruction Optical microscopy Spatial resolution Signal resolution Wavelet analysis |
| Content Type | Text |
| Resource Type | Article |
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