Comparing the Performance of Image Enhancement Methods to Detect Microcalcification Clusters in Digital Mammography
Author | Hajar Moradmand | en |
Author | Saeed Setayeshi | en |
Author | Ali Reza Karimian | en |
Author | Mehri Sirous | en |
Author | Mohammad Esmaeil Akbari | en |
Issued Date | 2012-06-30 | en |
Abstract | Background: Mammography is the primary imaging technique for detection and diagnosis of breast cancer; however, the contrast of a mammogram image is often poor, especially for dense and glandular tissues. In these cases the radiologist may miss some diagnostically important microcalcifications. In order to improve diagnosis of cancer correctly, image enhancement technology is often used to enhance the image and help radiologists. | en |
DOI | https://doi.org/ | en |
Keyword | Breast neoplasm | en |
Keyword | Mammography | en |
Keyword | Image enhancement | en |
Keyword | Wavelet transform | en |
Publisher | Brieflands | en |
Title | Comparing the Performance of Image Enhancement Methods to Detect Microcalcification Clusters in Digital Mammography | en |
Type | Research Article | en |
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