Data mining: concepts and techniques
Data mining: concepts and techniques
Digital Image Processing
Dynamic Association Rule Mining using Genetic Algorithms
Intelligent Data Analysis
Computer-Based Identification of Breast Cancer Using Digitized Mammograms
Journal of Medical Systems
FIMH '09 Proceedings of the 5th International Conference on Functional Imaging and Modeling of the Heart
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The national cancer institute (NCI) estimates that 1 in 8 women in USA (12.6%) develop breast cancer, during their life time. Mammography is a medical imaging technique that combines, low-dose radiation and high-contrast, high-resolution film for examination of the breast and screening for breast cancer. The aim of a screening mammogram is to detect a tumor that cannot be physically detected. This paper proposes a method for detection of tumor using Watershed Algorithm, and further classifies it as benign or malignant using Watershed Decision Classifier (WDC). The technique consists of four phases namely, the pre-processing of image, detecting the presence of tumor, creation of the data base and finally classifying and categorizing them into two groups such as Cancerous or Benign. Experimental results show that this method performs well with the classification accuracy reaching nearly 88.38%.