A Hierarchical Model to Classify Brain Cancer using GLCM
Journal: International Journal of Science and Research (IJSR) (Vol.5, No. 8)Publication Date: 2016-08-05
Authors : Vaishnavi. B; Uma. R;
Page : 790-794
Keywords : Data mining; Decision Tree; Magnetic Resonance Imaging MRI; Gray Level Cooccurrence Matrix GLCM;
Abstract
The Cancer is the next stage or effect of tumorous cells. This research aims to detection of brain cancer using Matlab and Data Mining. This proposed research is classifying the cancer in MR images of the cancer affected patients. The major steps involved in the system are Preprocessing, Feature Extraction and Decision Tree Classification. The Image Processing techniques such as Median filtering have been developed for detection of noise in the MR images. In this research, extraction of features in the cancer image is achieved by using Gray Level Cooccurrence Matrix (GLCM). Then J48 classifier is used to classify MRI brain images into abnormal and healthy image. The proposed algorithm is very useful to gives more information about the cancer which is very helpful to the doctor for subjective analysis.
Other Latest Articles
- Analysis Factors Supporting and Inhibiting Principal in Promoting Guidance and Counselling Teacher in 7State Senior High School Sarolangun
- Empowerment of Women Teachers in Improving Quality of Education in the 25 State Junior High School Sarolangun
- Some Biochemical and Haematological Studies on the Effect of Black seed and Curcumin in Vaccinated Broiler with Gumboro
- Women Workforce Participation in India- A Study
- Analysis of Blocking Technique in Volleyball
Last modified: 2021-07-01 14:42:41