A new Tsallis based automatic non linear enhancement of mammograms for microcalcifications segmentation in high density breast
| Autor: | Alima Damak Masmoudi, Norhene Gargouri Ben Ayed, Dorra Sellemi Masmoudi, Mouna Zouari Mehdi |
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| Rok vydání: | 2014 |
| Předmět: |
medicine.medical_specialty
Breast tissue medicine.diagnostic_test Computer science business.industry Tsallis entropy Normal tissue High density Context (language use) Pattern recognition medicine Mammography Segmentation Breast density Radiology Artificial intelligence skin and connective tissue diseases business |
| Zdroj: | International Image Processing, Applications and Systems Conference. |
| DOI: | 10.1109/ipas.2014.7043315 |
| Popis: | Microcalcifications are tiny deposits of calcium located in breast tissue. They appeared as very small highlighted regions in comparaison with their surrounding tissue. The difference of contrast between microcalcifications and the normal tissue depend on the breast density: The more the breast is dense, the less is the contrast. In this context, we propose to enhance microcalcifications details for each type of breast density using for methods. As we know that the BIRADS/ACR 4 contains dense breast, That's why we have proposed to make the Non Linear Stratching (NLS)automatic by applying an improved Tsallis entropy. The proposed mammography enhancement approach is evaluated on the Digital Database for Screening Mammography (DDSM) database. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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