CAD System for Breast Cancer Masses Detection
An Image Processing Technique for Breast Cancer Masses Detection
(Sprache: Englisch)
Breast cancer is one of the major causes of death among women all over the world. An improvement of early detection and diagnosis techniques is very important for women's quality of life. Computer-Aided Detection (CAD) systems have been used for aiding...
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Breast cancer is one of the major causes of death among women all over the world. An improvement of early detection and diagnosis techniques is very important for women's quality of life. Computer-Aided Detection (CAD) systems have been used for aiding radiologists in their decision in order to solve the limitations of human observers. In this context, a methodology for mass detection on digital mammograms is presented. The proposed system was tested on several mammographic images extracted from Digital Database for Screening Mammography (DDSM) and the Mammographic Image Analysis Society (MIAS) database. Our results showed that the proposed methodology provided more accuracy than other compared techniques. The proposed system can be helpful to the radiologist by serving as a second reader in mammography screening, as it indicates that the use of the proposed methodology in the detection of masses is promising, since it achieves good rates of accuracy.
Autoren-Porträt von Walaa Gouda, Tarek El Shishtawey, Mazen Selim
Gouda, WalaaWalaa Gouda Hassan Mohamed - Jouf Univeristy, College of ComputerScience and Technology, Computer Engineering and NetworksDepartment.Tarek El Shishtawey - Benha University, College of ComputerScience and Technology. Mazen Selim- Benha University, College of ComputerScience and Technology.
Bibliographische Angaben
- Autoren: Walaa Gouda , Tarek El Shishtawey , Mazen Selim
- 2020, 112 Seiten, Maße: 22 cm, Kartoniert (TB), Englisch
- Verlag: LAP Lambert Academic Publishing
- ISBN-10: 6200785821
- ISBN-13: 9786200785824
Sprache:
Englisch
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