Image Classification Approach for Breast Cancer Detection Based on a Complex Event Processing
Chetana Srinivas · IOSR Journal of Engineering · 2012
Breast cancer is considered to be one of the leading causes of deaths among females in United States.All over the global level approximately 10000 women are diagnosed with this disease per year and approximately 3500 of these women are die from this types of cancer.In this paper, we propose a Complex Event Processing (CEP) Engine based on Support Vector Machine.Currently the Effective method for early detection and screening of Breast Cancer is Mammography Techniques.The detection of Tumor method follows the scheme of a) Mammogram image preprocessing b) The Segmentation Tumor area c) The Extraction of features and the use of support Vector Machine classification method.The monogram enhancement and segmentation techniques play an important role to improve the detection and diagnosis of breast cancer.The results reveal that the application of Event processing techniques improves the classification of images in medical domain and produces accurate results in order to help radiologist assessment.