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Article:Association Rule mining based Decision Tree Induction for efficient detection of cancerous masses in mammogram
| International Journal of Computer Applications |
| Foundation of Computer Science (FCS), NY, USA |
| Volume 31 - Number 6 |
| Year of Publication: 2011 |
| Authors: S.Pitchumani Angayarkanni, Dr.Nadira Banu Kamal |
10.5120/3825-5309
|
S.Pitchumani Angayarkanni, Dr.Nadira Banu Kamal . Article:Association Rule mining based Decision Tree Induction for efficient detection of cancerous masses in mammogram. International Journal of Computer Applications. 31, 6 ( October 2011), 1-5. DOI=10.5120/3825-5309
Abstract
Breast cancer is one of the most common form 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 one. The system we propose includes the data mining concept for early, fast and accurate detection of cancerous masses in mammogram images. The system we propose consists of :preprocessing phase, a phase for segmenting normal, benign and malignant regions and a phase for mining the resulted traditional Database and a final phase to organize the resulted association rule based decision tree induction in a classification model . The experimental results show that the method performs well, reaching over 99% accuracy. This is mainly to increase the levels of diagnostic confidence and to provide immediate second opinion for physician.
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