• Daljit Kaur

Now day’s breast cancer is prevailing in women. It can be spread to other areas as it started from the breast and it is second largest disease that causes death of women. It is curable if it is detected at the early stages but lack of proper methodology is still a challenge. In this paper we proposed an approach to detect breast cancer at early stages that is based on genetic algorithm and decision tree. The genetic approach is an iterative technique that gives results faster and decision tree is utilized for classification. The multi support vector machine is also utilized in order to extract the feature and match it against the trained image. The parameters which are utilized in proposed work includes classification accuracy, precision, F-score, recall. The simulation results show better performance as compare to existing system.

Genetic Algorithm, Decision Tree, Classification

"DETECTION OF BREAST CANCER IN MAMMOGRAPHY IMAGES USING THE NOVEL TECHNIQUE OF GENETIC ALGORITHM AND DECISION TREE", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.5, Issue 8, page no.613-622, August-2018, Available :http://www.jetir.org/papers/JETIR1808845.pdf

"DETECTION OF BREAST CANCER IN MAMMOGRAPHY IMAGES USING THE NOVEL TECHNIQUE OF GENETIC ALGORITHM AND DECISION TREE", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.5, Issue 8, page no. pp613-622, August-2018, Available at : http://www.jetir.org/papers/JETIR1808845.pdf