Title :
Feature extraction values for breast cancer mammography images
Author :
Al-Shamlan, Hala ; El-Zaart, Ali
Author_Institution :
Dept. of Comput. Sci., King Saud Univ., Riyadh, Saudi Arabia
Abstract :
Breast cancer is one of the most common cancers among woman of the developing countries in the world, and it has also become a major cause of death. Treatment of breast cancer is effective only if it is detected at an early stage. X-ray mammography is the most effective method for early detection but the mammography images are complex. Thus nowadays, image processing and image analysis techniques are use to assist radiologist for detecting tumors in mammography images. In this paper we specify and determined the important and significant Breast Cancer Feature Extraction. After that, we analyze Breast cancer mammography images using these significant features. However, the aim of this study is to determine the features extraction ranges values for Breast Cancer mammography image.
Keywords :
cancer; feature extraction; mammography; medical image processing; X-ray mammography; breast cancer mammography images; feature extraction values; image analysis; image processing; Breast cancer; Breast neoplasms; Cancer detection; Feature extraction; Image analysis; Image processing; Mammography; X-ray detection; X-ray detectors; X-ray imaging; Breast Cancer; Breast Digital Image; Feature Extraction; Mammography Image; Mammography Image Processing;
Conference_Titel :
Bioinformatics and Biomedical Technology (ICBBT), 2010 International Conference on
Conference_Location :
Chengdu
Print_ISBN :
978-1-4244-6775-4
DOI :
10.1109/ICBBT.2010.5478947