Paper Details: Downloads: 726
Serial Number: P1151214162
Title: MRI MAMMOGRAM IMAGE CLASSIFICATION USING ID3 ALGORITHM
Authors: S.Pitchumani Angayarkanni & Dr.Nadira Banu Kamal
Abstract: Breast cancer is one of the most common forms of cancer in women. In order to reduce the death rate , early detection of cancerous regions in mammogram images is needed. The existing system is not so accurate and it is time consuming. The Proposed system is mainly used for automatic segmentation of the mammogram images and classify them as benign,malignant or normal based on the decision tree ID3 algorithm. A hybrid method of data mining technique is used to predict the texture features which play a vital role in classification. The sensitivity, the specificity, positive prediction value and negative prediction value of the proposed algorithm accounts to 93.45% , 99.95%,94% and 98.5% which rates very high when compared to the existing algorithms. The size and the stages of the tumor is detected using the ellipsoid volume formula which is calculated over the segmented region.
Keywords: GLCM,Texture,SOM and ID3algorithm.
Journal/Conference: ICGST International Conference on Computer Science and Engineering, CSE-Dubai-12
Volume:
Issue:
Submission Date: 4/3/2012 12:00:00 AM
Review Date: 5/28/2012 12:00:00 AM
Publishing Date: 7/16/2012 12:00:00 AM
Article Downloads: 726
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